2021 |
Pękala, Barbara; Dyczkowski, Krzysztof; Grzegorzewski, Przemysław; Bentkowska, Urszula Inclusion and similarity measures for interval-valued fuzzy sets based on aggregation and uncertainty assessment Journal Article Information Sciences, 547 , pp. 1182 - 1200, 2021, ISSN: 0020-0255. @article{Pękala2020b, title = {Inclusion and similarity measures for interval-valued fuzzy sets based on aggregation and uncertainty assessment}, author = {Barbara Pękala and Krzysztof Dyczkowski and Przemysław Grzegorzewski and Urszula Bentkowska}, url = {http://www.sciencedirect.com/science/article/pii/S002002552030983X}, doi = {https://doi.org/10.1016/j.ins.2020.09.072}, issn = {0020-0255}, year = {2021}, date = {2021-01-01}, journal = {Information Sciences}, volume = {547}, pages = {1182 - 1200}, abstract = {We consider the problem of measuring the degree of inclusion and similarity between interval-valued fuzzy sets. We propose a new idea for constructing indicators of inclusion and similarity measures based on the precedence relation, aggregation and uncertainty assessment. Futhermore, we examine selected properties of the suggested measures and their interactions. Finally, we discuss several similarity measures that appear in the literature and compare them with our novel approach}, keywords = {}, pubstate = {published}, tppubtype = {article} } We consider the problem of measuring the degree of inclusion and similarity between interval-valued fuzzy sets. We propose a new idea for constructing indicators of inclusion and similarity measures based on the precedence relation, aggregation and uncertainty assessment. Futhermore, we examine selected properties of the suggested measures and their interactions. Finally, we discuss several similarity measures that appear in the literature and compare them with our novel approach |
2020 |
Dyczkowski, Krzysztof; Pękala, Barbara; Baczyński, Michał; Szkoła, Jarosław; Piłka, Tomasz The ordering methods of interval-valued fuzzy cardinal numbers with application in an uncertain decision making Inproceedings 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Glasgow, United Kingdom, pp. 1-8, IEEE 2020. @inproceedings{Dyczkowski2020, title = {The ordering methods of interval-valued fuzzy cardinal numbers with application in an uncertain decision making}, author = {Krzysztof Dyczkowski and Barbara Pękala and Michał Baczyński and Jarosław Szkoła and Tomasz Piłka}, doi = {10.1109/FUZZ48607.2020.9177807}, year = {2020}, date = {2020-08-26}, booktitle = {2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Glasgow, United Kingdom}, pages = {1-8}, organization = {IEEE}, abstract = {In this contribution we propose new methodology to compare interval-valued fuzzy cardinal numbers (IVFCN). The new methods are based on interval subsethood measures which take into account widths of the intervals. An application of introduced methodology is presented on an example of decision algorithm for medical diagnosis support.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } In this contribution we propose new methodology to compare interval-valued fuzzy cardinal numbers (IVFCN). The new methods are based on interval subsethood measures which take into account widths of the intervals. An application of introduced methodology is presented on an example of decision algorithm for medical diagnosis support. |
Żywica, Patryk Application of uncertainty-aware similarity measure to classification in medical diagnosis Inproceedings 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 1-8, IEEE, 2020. @inproceedings{zywica2020application, title = {Application of uncertainty-aware similarity measure to classification in medical diagnosis}, author = {Patryk Żywica}, url = {https://ai.wmi.amu.edu.pl/wp-content/uploads/2020/10/2020-wcci-application.pdf}, doi = {10.1109/FUZZ48607.2020.9177845}, year = {2020}, date = {2020-08-26}, booktitle = {2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)}, pages = {1-8}, publisher = {IEEE}, abstract = {The uncertainty is a common problem in many areas of science. The best-studied variant is incomplete data where the values of some attributes are unknown. It turns out that even in this situation, many known classification methods fail. The objective of the work is to develop an effective classification method for uncertain data including pre-processing and uncertainty aware similarity-based algorithms. The problem of uncertainty is particularly important in medical diagnostics where incompleteness and uncertainty is often a natural and permanent feature of the data. The paper presents the evaluation of the proposed methods on two publicly available data sets and compare the effectiveness of the previous results.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } The uncertainty is a common problem in many areas of science. The best-studied variant is incomplete data where the values of some attributes are unknown. It turns out that even in this situation, many known classification methods fail. The objective of the work is to develop an effective classification method for uncertain data including pre-processing and uncertainty aware similarity-based algorithms. The problem of uncertainty is particularly important in medical diagnostics where incompleteness and uncertainty is often a natural and permanent feature of the data. The paper presents the evaluation of the proposed methods on two publicly available data sets and compare the effectiveness of the previous results. |
Pękala, Barbara; Szkoła, Jacek; Dyczkowski, Krzysztof; Piłka, Tomasz New methods for comparing interval-valued fuzzy cardinal numbers Journal Article Communications in Computer and Information Science, 1238 , pp. 523-536, 2020. @article{Pȩkala2020, title = {New methods for comparing interval-valued fuzzy cardinal numbers}, author = {Barbara Pękala and Jacek Szkoła and Krzysztof Dyczkowski and Tomasz Piłka }, doi = {https://doi.org/10.1007/978-3-030-50143-3_41}, year = {2020}, date = {2020-06-15}, journal = {Communications in Computer and Information Science}, volume = {1238}, pages = {523-536}, abstract = {In this contribution the concept how to solve the problem of comparability in the interval-valued fuzzy setting and its application in medical diagnosis is presented. Especially, we consider comparability of interval-valued fuzzy sets cardinality, where order of its elements is most important. We propose an algorithm for comparing interval-valued fuzzy cardinal numbers (IVFCNs) and we evaluate it in a medical diagnosis decision support system.}, keywords = {}, pubstate = {published}, tppubtype = {article} } In this contribution the concept how to solve the problem of comparability in the interval-valued fuzzy setting and its application in medical diagnosis is presented. Especially, we consider comparability of interval-valued fuzzy sets cardinality, where order of its elements is most important. We propose an algorithm for comparing interval-valued fuzzy cardinal numbers (IVFCNs) and we evaluate it in a medical diagnosis decision support system. |
Szubert, Sebastian; Szpurek, Dariusz; Wójtowicz, Andrzej; Żywica, Patryk; Stukan, Maciej; Sajdak, Stefan; Jabłoński, Sławomir; Wicherek, Łukasz; Moszyński, Rafał Journal of Ultrasound in Medicine, 5 (39), pp. 939-947, 2020, ISSN: 0278-4297. @article{szubert2019performance, title = {Performance of Selected Models for Predicting Malignancy in Ovarian Tumors in Relation to the Degree of Diagnostic Uncertainty by Subjective Assessment With Ultrasound}, author = {Sebastian Szubert and Dariusz Szpurek and Andrzej Wójtowicz and Patryk Żywica and Maciej Stukan and Stefan Sajdak and Sławomir Jabłoński and Łukasz Wicherek and Rafał Moszyński}, url = {https://ai.wmi.amu.edu.pl/wp-content/uploads/2021/09/szubert2020performance.pdf}, doi = {10.1002/jum.15178}, issn = {0278-4297}, year = {2020}, date = {2020-04-19}, journal = {Journal of Ultrasound in Medicine}, volume = {5}, number = {39}, pages = {939-947}, publisher = {John Wiley & Sons, Inc. Hoboken, USA}, abstract = {Objectives The study's main aim was to evaluate the relationship between the performance of predictive models for differential diagnoses of ovarian tumors and levels of diagnostic confidence in subjective assessment (SA) with ultrasound. The second aim was to identify the parameters that differentiate between malignant and benign tumors among tumors initially diagnosed as uncertain by SA. Methods The study included 250 (55%) benign ovarian masses and 201 (45%) malignant tumors. According to ultrasound findings, the tumors were divided into 6 groups: certainly benign, probably benign, uncertain but benign, uncertain but malignant, probably malignant, and certainly malignant. The performance of the risk of malignancy index, International Ovarian Tumor Analysis assessment of different neoplasias in the adnexa model, and International Ovarian Tumor Analysis logistic regression model 2 was analyzed in subgroups as follows: SA‐certain tumors (including certainly benign and certainly malignant) versus SA‐probable tumors (probably benign and probably malignant) versus SA‐uncertain tumors (uncertain but benign and uncertain but malignant). Results We found a progressive decrease in the performance of all models in association with the increased uncertainty in SA. The areas under the receiver operating characteristic curve for the risk of malignancy index, logistic regression model 2, and assessment of different neoplasias in the adnexa model decreased between the SA‐certain and SA‐uncertain groups by 20%, 28%, and 20%, respectively. The presence of solid parts and a high color score were the discriminatory features between uncertain but benign and uncertain but malignant tumors. Conclusions Studies are needed that focus on the subgroup of ovarian tumors that are difficult to classify by SA. In cases of uncertain tumors by SA, the presence of solid components or a high color score should prompt a gynecologic oncology clinic referral.}, keywords = {}, pubstate = {published}, tppubtype = {article} } Objectives The study's main aim was to evaluate the relationship between the performance of predictive models for differential diagnoses of ovarian tumors and levels of diagnostic confidence in subjective assessment (SA) with ultrasound. The second aim was to identify the parameters that differentiate between malignant and benign tumors among tumors initially diagnosed as uncertain by SA. Methods The study included 250 (55%) benign ovarian masses and 201 (45%) malignant tumors. According to ultrasound findings, the tumors were divided into 6 groups: certainly benign, probably benign, uncertain but benign, uncertain but malignant, probably malignant, and certainly malignant. The performance of the risk of malignancy index, International Ovarian Tumor Analysis assessment of different neoplasias in the adnexa model, and International Ovarian Tumor Analysis logistic regression model 2 was analyzed in subgroups as follows: SA‐certain tumors (including certainly benign and certainly malignant) versus SA‐probable tumors (probably benign and probably malignant) versus SA‐uncertain tumors (uncertain but benign and uncertain but malignant). Results We found a progressive decrease in the performance of all models in association with the increased uncertainty in SA. The areas under the receiver operating characteristic curve for the risk of malignancy index, logistic regression model 2, and assessment of different neoplasias in the adnexa model decreased between the SA‐certain and SA‐uncertain groups by 20%, 28%, and 20%, respectively. The presence of solid parts and a high color score were the discriminatory features between uncertain but benign and uncertain but malignant tumors. Conclusions Studies are needed that focus on the subgroup of ovarian tumors that are difficult to classify by SA. In cases of uncertain tumors by SA, the presence of solid components or a high color score should prompt a gynecologic oncology clinic referral. |
Chęcińska-Maciejewska, Zuzanna; Niepolski, Leszek; Chęcińska, Agnieszka; Korek, Emilia; Kołodziejczak, Barbara; Kopczyński, Z; Krauss, Hanna; Kołodziejski, P; Gibas-Dorna, Magdalena Regular cold water swimming during winter time affects resting hematological parameters and serum erythropoietin Journal Article Journal of Physiology and Pharmacology , 70 (5), 2020. @article{Chęcińska-Maciejewska2020, title = {Regular cold water swimming during winter time affects resting hematological parameters and serum erythropoietin}, author = {Zuzanna Chęcińska-Maciejewska and Leszek Niepolski and Agnieszka Chęcińska and Emilia Korek and Barbara Kołodziejczak and Z. Kopczyński and Hanna Krauss and P. Kołodziejski and Magdalena Gibas-Dorna}, url = {www.jpp.krakow.pl/journal/archive/10_19/articles/10_article.html}, doi = {10.26402/jpp.2019.5.10}, year = {2020}, date = {2020-01-07}, journal = {Journal of Physiology and Pharmacology }, volume = {70}, number = {5}, abstract = {Recreational winter swimming in cold sea water evokes body responses to regularly repeated cold water immersion. However, the understanding of adaptive changes is still limited and data regarding very short-term exposure to severe cold stress are scarce. The purpose of the study was to examine the effects of regular active cold water exposure on resting blood elements and erythropoietin in male and female cold water swimmers (CWSs). Thirty four healthy subjects (18 men and 16 women) aged 50.0 ± 12.2 years were swimming in cold sea water during winter season at least twice a week. The average water temperature was 9.5°C in October, 1.0°C in January and 4.4°C at the end of April. Fasting blood samples were taken within the first weeks of October, January and April. Serum erythropoietin (EPO), complete blood count (CBC) including evaluation of: red blood cells (RBC count, hemoglobin, hematocrit and RBC indices), white blood cells (WBC count with WBC differential), platelets (PLT count), serum folate and serum immunoglobulins (IgG, IgA, IgM) were determined. Between October and April an increase was observed in the following parameters: RBC (from 4.8 × 1012/L to 5.2 × 1012/L, P < 0.001), hemoglobin (from 8.6 mmol/L to 9.4 mmol/L, P < 0.001), MCH (from 1.8 fmol to 1.9 fmol, P = 0.003), MCHC (from 19.9 mmol/L to 20.6 mmol/L, P < 0.001), EPO (from 6.3 IU/L to 8.1 IU/L, P = 0.001). At the same time decreased concentrations of PLT (from 249.9 × 109/L to 221.6 × 109/L, P = 0.005), folate (from 10.5 ng/mL to 7.4 ng/mL, P < 0.001) and immunoglobulins (IgG: from 11.8 g/L to 10.9 g/L, P < 0.001; IgA: from 2.5 g/L to 2.2 g/L, P < 0.001; IgM: from 0.9 g/L to 0.8 g/L, P < 0.001). Statistically significant changes in EPO and PLT values were noted only in female CWSs. We conclude that regular cold water swimming induces adaptive changes in the resting blood elements and EPO concentrations which are more evident in female organism.}, keywords = {}, pubstate = {published}, tppubtype = {article} } Recreational winter swimming in cold sea water evokes body responses to regularly repeated cold water immersion. However, the understanding of adaptive changes is still limited and data regarding very short-term exposure to severe cold stress are scarce. The purpose of the study was to examine the effects of regular active cold water exposure on resting blood elements and erythropoietin in male and female cold water swimmers (CWSs). Thirty four healthy subjects (18 men and 16 women) aged 50.0 ± 12.2 years were swimming in cold sea water during winter season at least twice a week. The average water temperature was 9.5°C in October, 1.0°C in January and 4.4°C at the end of April. Fasting blood samples were taken within the first weeks of October, January and April. Serum erythropoietin (EPO), complete blood count (CBC) including evaluation of: red blood cells (RBC count, hemoglobin, hematocrit and RBC indices), white blood cells (WBC count with WBC differential), platelets (PLT count), serum folate and serum immunoglobulins (IgG, IgA, IgM) were determined. Between October and April an increase was observed in the following parameters: RBC (from 4.8 × 1012/L to 5.2 × 1012/L, P < 0.001), hemoglobin (from 8.6 mmol/L to 9.4 mmol/L, P < 0.001), MCH (from 1.8 fmol to 1.9 fmol, P = 0.003), MCHC (from 19.9 mmol/L to 20.6 mmol/L, P < 0.001), EPO (from 6.3 IU/L to 8.1 IU/L, P = 0.001). At the same time decreased concentrations of PLT (from 249.9 × 109/L to 221.6 × 109/L, P = 0.005), folate (from 10.5 ng/mL to 7.4 ng/mL, P < 0.001) and immunoglobulins (IgG: from 11.8 g/L to 10.9 g/L, P < 0.001; IgA: from 2.5 g/L to 2.2 g/L, P < 0.001; IgM: from 0.9 g/L to 0.8 g/L, P < 0.001). Statistically significant changes in EPO and PLT values were noted only in female CWSs. We conclude that regular cold water swimming induces adaptive changes in the resting blood elements and EPO concentrations which are more evident in female organism. |
2019 |
Kołodziejczak, Barbara The use of portals and learning environments in non-academic teaching. Book Chapter Smyrnova-Trybulska, Eugenia (Ed.): 11 , pp. 259-271, Studio-Noa, Katowice-Cieszyn , 2019, ISSN: 2451-3644. @inbook{Kołodziejczak2019, title = {The use of portals and learning environments in non-academic teaching.}, author = {Barbara Kołodziejczak}, editor = {Eugenia Smyrnova-Trybulska}, issn = {2451-3644}, year = {2019}, date = {2019-12-30}, volume = {11}, pages = {259-271}, publisher = {Studio-Noa}, address = {Katowice-Cieszyn }, series = {E-Learning and STEM Education}, abstract = {Preparation of future teachers for the efficient use of technologies and their inclusion into the teaching process is one of the major educational objectives in the pedagogical field. The aim of the article was to evaluate the use of portals and educational environments in non-academic teaching. In particular, the research focused on the level and purposes of the use and utility of these types of tools in school education. The article presents the results of a pilot study conducted among second and third year students of Mathematics and Computer Science Teaching at the Faculty of Mathematics and Computer Science, Adam Mickiewicz University in Poznan (AMU) and among experienced teachers. Research shows that teachers are increasingly willing to use IT tools to support teaching, but their knowledge of portals and ready-to-use learning environments is minimal.}, keywords = {}, pubstate = {published}, tppubtype = {inbook} } Preparation of future teachers for the efficient use of technologies and their inclusion into the teaching process is one of the major educational objectives in the pedagogical field. The aim of the article was to evaluate the use of portals and educational environments in non-academic teaching. In particular, the research focused on the level and purposes of the use and utility of these types of tools in school education. The article presents the results of a pilot study conducted among second and third year students of Mathematics and Computer Science Teaching at the Faculty of Mathematics and Computer Science, Adam Mickiewicz University in Poznan (AMU) and among experienced teachers. Research shows that teachers are increasingly willing to use IT tools to support teaching, but their knowledge of portals and ready-to-use learning environments is minimal. |
Żywica, Patryk; Stachowiak, Anna Uncertainty-aware similarity measures - properties and construction method Inproceedings Novák, Vilém; Mařík, Vladimír; Štěpnička, Martin; Navara, Mirko; Hurtík, Petr (Ed.): 2019 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (EUSFLAT 2019), pp. 512-519, Atlantis Press, 2019, ISSN: 2589-6644. @inproceedings{zywica2019uncertainty, title = {Uncertainty-aware similarity measures - properties and construction method}, author = {Patryk Żywica and Anna Stachowiak}, editor = {Vilém Novák and Vladimír Mařík and Martin Štěpnička and Mirko Navara and Petr Hurtík}, url = {https://doi.org/10.2991/eusflat-19.2019.71}, doi = {10.2991/eusflat-19.2019.71}, issn = {2589-6644}, year = {2019}, date = {2019-08-01}, booktitle = {2019 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (EUSFLAT 2019)}, volume = {1}, pages = {512-519}, publisher = {Atlantis Press}, series = {Atlantis Studies in Uncertainty Modelling}, abstract = {A concept of uncertainty-aware similarity measure for interval--valued fuzzy sets is being defined and discussed. The aim of the paper is to support the opinion that both definition and construction of such measure should take into account the epistemic nature of compared incomplete (uncertain) information. This approach, however, generates new challenges resulted from the computational complexity of the problem. We define a set of properties to be satisfied by uncertainty-aware similarity measure and we propose a new technique of constructing such measures.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } A concept of uncertainty-aware similarity measure for interval--valued fuzzy sets is being defined and discussed. The aim of the paper is to support the opinion that both definition and construction of such measure should take into account the epistemic nature of compared incomplete (uncertain) information. This approach, however, generates new challenges resulted from the computational complexity of the problem. We define a set of properties to be satisfied by uncertainty-aware similarity measure and we propose a new technique of constructing such measures. |
Roszak, Magdalena; Mokwa-Tarnowska, Iwona; Kołodziejczak, Barbara E-learning Competencies for University and College Staff Book Chapter Smyrnova-Trybulska, Eugenia; Kommers, Piet; Morze, Nataliia; Malach, Josef (Ed.): pp. 185-200, Springer International Publishing, Cham, 2019, ISBN: 978-3-030-05026-9. @inbook{Roszak2019, title = {E-learning Competencies for University and College Staff}, author = {Magdalena Roszak and Iwona Mokwa-Tarnowska and Barbara Kołodziejczak }, editor = {Eugenia Smyrnova-Trybulska and Piet Kommers and Nataliia Morze and Josef Malach}, url = {https://doi.org/10.1007/978-3-030-05026-9_11}, doi = {10.1007/978-3-030-05026-9_11}, isbn = {978-3-030-05026-9}, year = {2019}, date = {2019-05-22}, pages = {185-200}, publisher = {Springer International Publishing}, address = {Cham}, abstract = {Various forms of e-learning are now entering both the education system at all levels and lifelong learning. Incorporating online resources and activities into a university course curriculum involves restructuring the whole teaching programme to achieve a synergistic effect. It also requires the teachers to acquire appropriate knowledge and develop new skills necessary to supervise the educational process in a new and more versatile environment. Its implementation requires the developers and tutors to demonstrate comprehensive ICT competencies necessary for handling this new education mode, particularly when developing educational materials to be uploaded to an LMS. The development of Web 2.0 technologies has enabled educators to move from instructivism towards constructivism, constructionism and connectivism, that is, towards interactive, collaborative and active learning. The areas of the staff's special expertise include developing and using online resources and activities, learning group management, knowledge assessment, one-to-one and one-to many communication as well as support and motivation of learners to work effectively on an online course. The ideas presented in the chapter are supported by opinions and attitudes expressed by the staff from Poznan University of Medical Sciences (Poland), Gda{'{n}}sk University of Technology (Poland) and West College Scotland (United Kingdom) in a survey.}, keywords = {}, pubstate = {published}, tppubtype = {inbook} } Various forms of e-learning are now entering both the education system at all levels and lifelong learning. Incorporating online resources and activities into a university course curriculum involves restructuring the whole teaching programme to achieve a synergistic effect. It also requires the teachers to acquire appropriate knowledge and develop new skills necessary to supervise the educational process in a new and more versatile environment. Its implementation requires the developers and tutors to demonstrate comprehensive ICT competencies necessary for handling this new education mode, particularly when developing educational materials to be uploaded to an LMS. The development of Web 2.0 technologies has enabled educators to move from instructivism towards constructivism, constructionism and connectivism, that is, towards interactive, collaborative and active learning. The areas of the staff's special expertise include developing and using online resources and activities, learning group management, knowledge assessment, one-to-one and one-to many communication as well as support and motivation of learners to work effectively on an online course. The ideas presented in the chapter are supported by opinions and attitudes expressed by the staff from Poznan University of Medical Sciences (Poland), Gda{'{n}}sk University of Technology (Poland) and West College Scotland (United Kingdom) in a survey. |
Szpurek, Dariusz; Szubert, Sebastian; Moszyński, Rafał; Dyczkowski, Krzysztof; Żywica, Patryk; Stachowiak, Anna; Wójtowicz, Andrzej; Romaniuk, Ryszard; Sajdak, Stefan; Wygralak, Maciej 10th International Charité Mayo Conference 2019, April 3-6, 2019, Berlin, Germany, reviewed abstract, 2019. @misc{szpurek2019analysis, title = {The analysis of the accuracy of selected ovarian tumor predictive models according to the degree of uncertainty in subjective assessment}, author = {Dariusz Szpurek and Sebastian Szubert and Rafał Moszyński and Krzysztof Dyczkowski and Patryk Żywica and Anna Stachowiak and Andrzej Wójtowicz and Ryszard Romaniuk and Stefan Sajdak and Maciej Wygralak}, url = {https://ai.wmi.amu.edu.pl/wp-content/uploads/2020/01/2019-abstract-analysis.pdf}, year = {2019}, date = {2019-04-04}, howpublished = {10th International Charité Mayo Conference 2019, April 3-6, 2019, Berlin, Germany, reviewed abstract}, keywords = {}, pubstate = {published}, tppubtype = {misc} } |
Szpurek, Dariusz; Szubert, Sebastian; Moszyński, Rafał; Dyczkowski, Krzysztof; Żywica, Patryk; Stachowiak, Anna; Wójtowicz, Andrzej; Romaniuk, Ryszard; Sajdak, Stefan; Wygralak, Maciej The external validation of International Ovarian Tumor Analysis (IOTA) ADNEX model in differential diagnosis of ovarian tumors Miscellaneous 10th International Charité Mayo Conference 2019, April 3-6, 2019, Berlin, Germany, reviewed abstract, 2019. @misc{szpurek2019external, title = {The external validation of International Ovarian Tumor Analysis (IOTA) ADNEX model in differential diagnosis of ovarian tumors}, author = {Dariusz Szpurek and Sebastian Szubert and Rafał Moszyński and Krzysztof Dyczkowski and Patryk Żywica and Anna Stachowiak and Andrzej Wójtowicz and Ryszard Romaniuk and Stefan Sajdak and Maciej Wygralak}, url = {https://ai.wmi.amu.edu.pl/wp-content/uploads/2020/01/2019-abstract-external.pdf}, year = {2019}, date = {2019-04-03}, howpublished = {10th International Charité Mayo Conference 2019, April 3-6, 2019, Berlin, Germany, reviewed abstract}, keywords = {}, pubstate = {published}, tppubtype = {misc} } |
Hermann, Jacek; Stajgis, Piotr; Kołodziejczak, Barbara; Eder, Piotr; Banasiewicz, Tomasz Treatment of Crohn’s anal fistulas guided by magnetic resonance imaging Journal Article Gastroenterology Rev., 14 (1), pp. 55–61, 2019, ISSN: 1895-5770. @article{Hermann2019c, title = {Treatment of Crohn’s anal fistulas guided by magnetic resonance imaging}, author = {Jacek Hermann and Piotr Stajgis and Barbara Kołodziejczak and Piotr Eder and Tomasz Banasiewicz}, doi = {10.5114/pg.2019.83426}, issn = {1895-5770}, year = {2019}, date = {2019-03-12}, journal = {Gastroenterology Rev.}, volume = {14}, number = {1}, pages = {55–61}, abstract = {Introduction: Clinical evaluation of the Crohn’s anal fistulas (CF) closure is inadequate to some extent due to earlier closure of cutaneous openings compared to fistulous tracts. There is a need for a more accurate method of assessment. Aim: To compare clinical signs of CF with radiological findings, before and after treatment, to follow complete closure. Material and methods It was a retrospective study of 23 patients suffering from CF admitted to a single specialist centre, who were treated with a combination of surgical and biological therapy. Fistula healing was evaluated with fistula drainage assessment classification (FDA), perianal disease activity index (PDAI), and van Assche magnetic resonance imaging score (MRI) before and 3 months after surgery and induction of the biological treatment. Results: Clinical response occurred in 13 (57%) patients 3 months after induction treatment. Complete clinical response was achieved in 8 (35%) patients, whereas partial response occurred in 5 (22%) patients. Persistence of a fistula tract was visualised on MRI in 4 (50%) patients with clinical closure. Conclusions: The healing process of CF should be monitored by MRI due to the discrepancy between premature closure of external openings and fistulous tracts. Prolonged biological therapy until complete healing of anal fistulas confirmed on MRI might improve the results of treatment.}, keywords = {}, pubstate = {published}, tppubtype = {article} } Introduction: Clinical evaluation of the Crohn’s anal fistulas (CF) closure is inadequate to some extent due to earlier closure of cutaneous openings compared to fistulous tracts. There is a need for a more accurate method of assessment. Aim: To compare clinical signs of CF with radiological findings, before and after treatment, to follow complete closure. Material and methods It was a retrospective study of 23 patients suffering from CF admitted to a single specialist centre, who were treated with a combination of surgical and biological therapy. Fistula healing was evaluated with fistula drainage assessment classification (FDA), perianal disease activity index (PDAI), and van Assche magnetic resonance imaging score (MRI) before and 3 months after surgery and induction of the biological treatment. Results: Clinical response occurred in 13 (57%) patients 3 months after induction treatment. Complete clinical response was achieved in 8 (35%) patients, whereas partial response occurred in 5 (22%) patients. Persistence of a fistula tract was visualised on MRI in 4 (50%) patients with clinical closure. Conclusions: The healing process of CF should be monitored by MRI due to the discrepancy between premature closure of external openings and fistulous tracts. Prolonged biological therapy until complete healing of anal fistulas confirmed on MRI might improve the results of treatment. |
Hermann, Jacek; Tomczak, Hanna; Kołodziejczak, Barbara; Mańkowska-Wierzbicka, Dorota; Banasiewicz, Tomasz; Marciniak, Ryszard One-shot dalbavancin infusion combined with vacuum-assisted closure of Crohn's anal fistulas. Journal Article Turk. J. Gastroenterol. , 30 (1), pp. 113-114, 2019, ISSN: 1300-4948. @article{Hermann2019, title = {One-shot dalbavancin infusion combined with vacuum-assisted closure of Crohn's anal fistulas.}, author = {Jacek Hermann and Hanna Tomczak and Barbara Kołodziejczak and Dorota Mańkowska-Wierzbicka and Tomasz Banasiewicz and Ryszard Marciniak}, doi = {10.5152/tjg.2018.17829}, issn = {1300-4948}, year = {2019}, date = {2019-03-06}, journal = {Turk. J. Gastroenterol. }, volume = {30}, number = {1}, pages = {113-114}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Mazur, Maciej; Eder, Piotr; Kołodziejczak, Barbara; Sobieska, Magdalena; Krela-Kaźmierczak, Iwona; Grzymisławski, Marian Long-term prognostic utility of selected acute phase proteins in colorectal cancer Journal Article Pol Arch Intern Med. 2019; 129: , 129 (4), pp. 292-294, 2019. @article{Mazur2019, title = {Long-term prognostic utility of selected acute phase proteins in colorectal cancer}, author = {Maciej Mazur and Piotr Eder and Barbara Kołodziejczak and Magdalena Sobieska and Iwona Krela-Kaźmierczak and Marian Grzymisławski}, url = {https://www.mp.pl/paim/en/node/4443/pdf}, doi = {10.20452/pamw.4443}, year = {2019}, date = {2019-02-13}, journal = {Pol Arch Intern Med. 2019; 129: }, volume = {129}, number = {4}, pages = {292-294}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Hermann, Jacek; Banasiewicz, Tomasz; Kołodziejczak, Barbara Role of Vacuum-Assisted Closure in the Management of Crohn Anal Fistulas. Journal Article Advances in Skin & Wound Care, 32 (1), pp. 35–40, 2019, ISSN: 1527-7941. @article{Hermann2019b, title = {Role of Vacuum-Assisted Closure in the Management of Crohn Anal Fistulas.}, author = {Jacek Hermann and Tomasz Banasiewicz and Barbara Kołodziejczak}, doi = {10.1097/01.ASW.0000547411.16017.58}, issn = {1527-7941}, year = {2019}, date = {2019-01-20}, journal = {Advances in Skin & Wound Care}, volume = {32}, number = {1}, pages = {35–40}, abstract = {Patients with Crohn disease-related anal fistulas are treated with debridement of fistulous tracts and the placement of noncutting setons (NCSs). However, to reduce the high recurrence rate, there is still a need to develop more effective treatment methods. Medical records of 47 patients with Crohn anal fistulas were retrospectively evaluated. They were divided into two groups (I, VAC; II, NCS), consisting of 24 and 23 patients, respectively. The fistulas in the former group were applied with VAC, whereas NCSs were placed in the latter group. Fistula healing was evaluated with the Fistula Drainage Assessment classification, Perianal Disease Activity Index, and the van Assche MRI-Based Score. RESULTS: There was a significant difference (P = .006) between the groups; closure of all fistulas at 6 months after treatment was achieved in 18 patients (75%) from group 1, compared with 8 patients (35%) from group 2. Partial response occurred in five patients (21%) from group 1 and in five patients (22%) from group 2. Closure of fistulous tracts was visualized via MRI in nine patients (37.50%) from group 1, more than twice as many patients as from group 2. CONCLUSIONS: Because preliminary results of the study showed a high rate of closure after application of VAC to Crohn anal fistulas, this method might be considered a novel sphincter-saving procedure.}, keywords = {}, pubstate = {published}, tppubtype = {article} } Patients with Crohn disease-related anal fistulas are treated with debridement of fistulous tracts and the placement of noncutting setons (NCSs). However, to reduce the high recurrence rate, there is still a need to develop more effective treatment methods. Medical records of 47 patients with Crohn anal fistulas were retrospectively evaluated. They were divided into two groups (I, VAC; II, NCS), consisting of 24 and 23 patients, respectively. The fistulas in the former group were applied with VAC, whereas NCSs were placed in the latter group. Fistula healing was evaluated with the Fistula Drainage Assessment classification, Perianal Disease Activity Index, and the van Assche MRI-Based Score. RESULTS: There was a significant difference (P = .006) between the groups; closure of all fistulas at 6 months after treatment was achieved in 18 patients (75%) from group 1, compared with 8 patients (35%) from group 2. Partial response occurred in five patients (21%) from group 1 and in five patients (22%) from group 2. Closure of fistulous tracts was visualized via MRI in nine patients (37.50%) from group 1, more than twice as many patients as from group 2. CONCLUSIONS: Because preliminary results of the study showed a high rate of closure after application of VAC to Crohn anal fistulas, this method might be considered a novel sphincter-saving procedure. |
Diering, Magdalena; Dyczkowski, Krzysztof; Hamrol, Adam Rating system analysis in quality engineering based on fuzzy similarity Journal Article Journal of Multiple-Valued Logic & Soft Computing, vol. 32 (3-4) , pp. 277-292, 2019. @article{Diering_2019, title = {Rating system analysis in quality engineering based on fuzzy similarity}, author = {Magdalena Diering and Krzysztof Dyczkowski and Adam Hamrol }, year = {2019}, date = {2019-01-01}, journal = {Journal of Multiple-Valued Logic & Soft Computing}, volume = { vol. 32 (3-4)}, pages = {277-292}, abstract = {The article describes a new measurement system analysis (MSA) methodology for qualitative characteristics. In this approach several features of the product are rated. Each feature can be expressed with imprecise data, in a nominal or an ordinal measurement scale. The goal of the methodology is to study raters ability to describe features in relation to the specification and customer requirements; also to gain information about the appraisers level of agreement in assessing products. The method is based on the novel fuzzy similarity coefficient SC, and Gwet's AC_{1} coefficient. Proposed novel method is the basis for the authors to build an expert assessments supporting system based on fuzzy models. To illustrate the methodology, we give a practical example based on visual inspection in the production process of diagnostic catheters. The analysis let to decide if raters' and expert's knowledge (know-how) about the features and the product is a reliable source of information - it occured that appraisers are able to detect the product defects (if appears), but raters and the expert use different set of rules to classify the object as a good or defective one (it means that set of rules to make the final decision about the product needs to be improved).}, keywords = {}, pubstate = {published}, tppubtype = {article} } The article describes a new measurement system analysis (MSA) methodology for qualitative characteristics. In this approach several features of the product are rated. Each feature can be expressed with imprecise data, in a nominal or an ordinal measurement scale. The goal of the methodology is to study raters ability to describe features in relation to the specification and customer requirements; also to gain information about the appraisers level of agreement in assessing products. The method is based on the novel fuzzy similarity coefficient SC, and Gwet's AC1 coefficient. Proposed novel method is the basis for the authors to build an expert assessments supporting system based on fuzzy models. To illustrate the methodology, we give a practical example based on visual inspection in the production process of diagnostic catheters. The analysis let to decide if raters' and expert's knowledge (know-how) about the features and the product is a reliable source of information - it occured that appraisers are able to detect the product defects (if appears), but raters and the expert use different set of rules to classify the object as a good or defective one (it means that set of rules to make the final decision about the product needs to be improved). |
2018 |
Dyczkowski, Krzysztof Springer, Cham, 2018, ISBN: 978-3-319-67004-1. @book{Dyczkowski_Book_2018, title = {Intelligent Medical Decision Support System Based on Imperfect Information. The Case of Ovarian Tumor Diagnosis}, author = {Krzysztof Dyczkowski}, url = {https://link.springer.com/book/10.1007%2F978-3-319-67005-8}, doi = {https://doi.org/10.1007/978-3-319-67005-8}, isbn = {978-3-319-67004-1}, year = {2018}, date = {2018-04-01}, publisher = {Springer}, address = {Cham}, series = {Studies in Computational Intelligence}, abstract = {This book discusses computer-supported medical diagnosis with a particular focus on ovarian tumor diagnosis – since ovarian cancer is difficult to diagnose and has high mortality rates, especially in Central and Eastern Europe. It presents the theoretical foundations (both medical and mathematical) of the intelligent OvaExpert system, which supports decision-making in tumor diagnosis. OvaExpert was created primarily to help gynecologists predict the malignancy of ovarian tumors by applying the existing diagnostic models and using modern methods of computational intelligence that accommodate imprecise and imperfect medical data, both of which are common features of everyday medical practice. The book presents novel methods based on interval-valued fuzzy sets and the theory of their cardinalities.}, keywords = {}, pubstate = {published}, tppubtype = {book} } This book discusses computer-supported medical diagnosis with a particular focus on ovarian tumor diagnosis – since ovarian cancer is difficult to diagnose and has high mortality rates, especially in Central and Eastern Europe. It presents the theoretical foundations (both medical and mathematical) of the intelligent OvaExpert system, which supports decision-making in tumor diagnosis. OvaExpert was created primarily to help gynecologists predict the malignancy of ovarian tumors by applying the existing diagnostic models and using modern methods of computational intelligence that accommodate imprecise and imperfect medical data, both of which are common features of everyday medical practice. The book presents novel methods based on interval-valued fuzzy sets and the theory of their cardinalities. |
Dyczkowski, Krzysztof; Stachowiak, Anna; Wygralak, Maciej A Decision-Making Model in an IVFS Environment Based on Sigma f-Count Cardinality Book Chapter Atanassov, Krassimir T; Kacprzyk, Janusz ; Ka{l}uszko, Andrzej ; Krawczak, Maciej ; Owsi{'{n}}ski, Jan ; Sotirov, Sotir ; Sotirova, Evdokia ; Szmidt, Eulalia ; Zadro{.{z}}ny, S{l}awomir (Ed.): Uncertainty and Imprecision in Decision Making and Decision Support: Cross-Fertilization, New Models and Applications, 559 , pp. 115–124, Springer International Publishing, Cham, 2018, ISBN: 978-3-319-65545-1. @inbook{10.1007/978-3-319-65545-1_11, title = {A Decision-Making Model in an IVFS Environment Based on Sigma f-Count Cardinality}, author = {Krzysztof Dyczkowski and Anna Stachowiak and Maciej Wygralak}, editor = {Atanassov, Krassimir T. and Kacprzyk, Janusz and Ka{l}uszko, Andrzej and Krawczak, Maciej and Owsi{'{n}}ski, Jan and Sotirov, Sotir and Sotirova, Evdokia and Szmidt, Eulalia and Zadro{.{z}}ny, S{l}awomir}, doi = {https://doi.org/10.1007/978-3-319-65545-1_11}, isbn = {978-3-319-65545-1}, year = {2018}, date = {2018-01-01}, booktitle = {Uncertainty and Imprecision in Decision Making and Decision Support: Cross-Fertilization, New Models and Applications}, volume = {559}, pages = {115--124}, publisher = {Springer International Publishing}, address = {Cham}, series = {Advances in Intelligent Systems and Computing}, abstract = {This article presents a new approach to making decisions when information, possibly incomplete, is provided by many sources. The proposed method is based on IVFS scalar cardinality (sigma f-count). First a general algorithm is introduced, and next an application in supporting medical decisions in ovarian tumor differentiation (based on multiple diagnostic models) is presented and discussed.}, keywords = {}, pubstate = {published}, tppubtype = {inbook} } This article presents a new approach to making decisions when information, possibly incomplete, is provided by many sources. The proposed method is based on IVFS scalar cardinality (sigma f-count). First a general algorithm is introduced, and next an application in supporting medical decisions in ovarian tumor differentiation (based on multiple diagnostic models) is presented and discussed. |
Dyczkowski, Krzysztof; Stachowiak, Anna; Wójtowicz, Andrzej; Żywica, Patryk An uncertainty aware medical diagnosis support system Inproceedings Medina, Jesús ; Ojeda-Aciego, Manuel ; Verdegay, José Luis ; Perfilieva, Irina ; Bouchon-Meunier, Bernadette ; Yager, Ronald R (Ed.): Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications. IPMU 2018, pp. 381-390, Springer, Cham, 2018, ISBN: 978-3-319-91478-7. @inproceedings{dyczkowski2018uncertainty, title = {An uncertainty aware medical diagnosis support system}, author = {Krzysztof Dyczkowski and Anna Stachowiak and Andrzej Wójtowicz and Patryk Żywica}, editor = {Medina, Jesús and Ojeda-Aciego, Manuel and Verdegay, José Luis and Perfilieva, Irina and Bouchon-Meunier, Bernadette and Yager, Ronald R.}, url = {https://ai.wmi.amu.edu.pl/wp-content/uploads/2020/01/ipmu-2018-unc-aware.pdf}, doi = {10.1007/978-3-319-91479-4_32}, isbn = {978-3-319-91478-7}, year = {2018}, date = {2018-01-01}, booktitle = {Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications. IPMU 2018}, volume = {855}, pages = {381-390}, publisher = {Springer, Cham}, series = {Communications in Computer and Information Science}, abstract = {In the paper we describe a computer system that store and process uncertain data in such a way as to be able to obtain information essential to make an effective diagnosis while also indicating the uncertainty level of that diagnosis. We consider the problem of incompleteness and imprecision of medical data and discuss some issues connected with such kind of information - like modeling, making decision that is aware of the imperfection of data, evaluating results in the context of uncertain medical data. As an example we describe a method of supporting medical decision implemented in the OvaExpert system that is based on interval-valued fuzzy sets cardinality.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } In the paper we describe a computer system that store and process uncertain data in such a way as to be able to obtain information essential to make an effective diagnosis while also indicating the uncertainty level of that diagnosis. We consider the problem of incompleteness and imprecision of medical data and discuss some issues connected with such kind of information - like modeling, making decision that is aware of the imperfection of data, evaluating results in the context of uncertain medical data. As an example we describe a method of supporting medical decision implemented in the OvaExpert system that is based on interval-valued fuzzy sets cardinality. |
Żywica, Patryk Modelling medical uncertainties with use of fuzzy sets and their extensions Inproceedings Medina, Jesus ; Ojeda-Aciego, Manuel ; Verdegay, Jose Luis ; Perfilieva, Irina ; Bouchon-Meunier, Bernadette ; Yager, Ronald R (Ed.): Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications. IMPU 2018, pp. 369–380, Springer, Cham, 2018, ISBN: 978-3-319-91478-7. @inproceedings{zywica2018modelling, title = {Modelling medical uncertainties with use of fuzzy sets and their extensions}, author = {Patryk Żywica}, editor = {Medina, Jesus and Ojeda-Aciego, Manuel and Verdegay, Jose Luis and Perfilieva, Irina and Bouchon-Meunier, Bernadette and Yager, Ronald R.}, url = {https://ai.wmi.amu.edu.pl/wp-content/uploads/2020/01/impu-2018-modelling-medical.pdf}, doi = {10.1007/978-3-319-91479-4_31}, isbn = {978-3-319-91478-7}, year = {2018}, date = {2018-01-01}, booktitle = {Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications. IMPU 2018}, volume = {855}, pages = {369--380}, publisher = {Springer, Cham}, series = {Communications in Computer and Information Science}, abstract = {This work presents an approach to deal with uncertainty in patient’s medical record. After giving a brief characterisation of possible sources of uncertainty in medical records, the paper introduces fuzzy set based approach that allows modelling of such information. First, heterogeneous data is converted to homogeneous model with the use of Feature Set structure. With such model uncertainty may be represented directly as Fuzzy Membership Function Families (FMFFs). Some theoretical results connecting FMFFs with Hesitant Fuzzy Sets and Type-2 Fuzzy Sets are also given.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } This work presents an approach to deal with uncertainty in patient’s medical record. After giving a brief characterisation of possible sources of uncertainty in medical records, the paper introduces fuzzy set based approach that allows modelling of such information. First, heterogeneous data is converted to homogeneous model with the use of Feature Set structure. With such model uncertainty may be represented directly as Fuzzy Membership Function Families (FMFFs). Some theoretical results connecting FMFFs with Hesitant Fuzzy Sets and Type-2 Fuzzy Sets are also given. |
Żywica, Patryk; Basiukajc, Katarzyna; Couso, Inés J., Kacprzyk; E., Szmidt; S., Zadrożny; K., Atanassov; M., Krawczak (Ed.): Advances in Fuzzy Logic and Technology 2017. EUSFLAT 2017, IWIFSGN 2017, 643 , pp. 586–599, Springer, Cham, 2018, ISBN: 978-3-319-66826-0. @incollection{zywica2017practical, title = {Practical notes on applying generalised stochastic orderings to the study of performance of classification algorithms for low quality data}, author = {Patryk Żywica and Katarzyna Basiukajc and Inés Couso}, editor = {Kacprzyk J. and Szmidt E. and Zadrożny S. and Atanassov K. and Krawczak M.}, url = {https://ai.wmi.amu.edu.pl/wp-content/uploads/2020/01/preprint_eusflat_2017.pdf}, doi = {10.1007/978-3-319-66827-7_54}, isbn = {978-3-319-66826-0}, year = {2018}, date = {2018-01-01}, booktitle = {Advances in Fuzzy Logic and Technology 2017. EUSFLAT 2017, IWIFSGN 2017}, volume = {643}, pages = {586--599}, publisher = {Springer, Cham}, series = {Advances in Intelligent Systems and Computing}, abstract = {This paper presents an approach to applying stochastic orderings to evaluate classification algorithms for low quality data. It discusses some known stochastic orderings along with practical notes about their application to classifier evaluation. Finally, a new approach based on fuzzy cost function is presented. The new method allows comparing any two classifiers, but does not require a precise definition of the cost function. All proposed methods were evaluated on real life medical data. The obtained results are very similar to those previously reported but comparatively much weaker assumptions about costs values are adopted.}, keywords = {}, pubstate = {published}, tppubtype = {incollection} } This paper presents an approach to applying stochastic orderings to evaluate classification algorithms for low quality data. It discusses some known stochastic orderings along with practical notes about their application to classifier evaluation. Finally, a new approach based on fuzzy cost function is presented. The new method allows comparing any two classifiers, but does not require a precise definition of the cost function. All proposed methods were evaluated on real life medical data. The obtained results are very similar to those previously reported but comparatively much weaker assumptions about costs values are adopted. |
Jasiulewicz-Kaczmarek, Małgorzata; Żywica, Patryk The concept of maintenance sustainability performance assessment by integrating balanced scorecard with non-additive fuzzy integral Journal Article Eksploatacja i Niezawodnosc - Maintenance and Reliability, 20 (4), pp. 650–661, 2018, ISSN: 1507-2711. @article{jasiulewicz2018concept, title = {The concept of maintenance sustainability performance assessment by integrating balanced scorecard with non-additive fuzzy integral}, author = {Małgorzata Jasiulewicz-Kaczmarek and Patryk Żywica}, url = {http://www.ein.org.pl/sites/default/files/2018-04-16.pdf}, doi = {10.17531/ein.2018.4.16}, issn = {1507-2711}, year = {2018}, date = {2018-01-01}, journal = {Eksploatacja i Niezawodnosc - Maintenance and Reliability}, volume = {20}, number = {4}, pages = {650--661}, abstract = {In response to the growing sustainability concerns, manufacturing companies have to formulate measures to assess sustainable manufacturing performance, aiming at integration of sustainability aspects. Although various models and methods to assess the sustainability of production processes, and point the role of maintenance have been developed in recent years, contribution of all the elements of the maintenance to the results of sustainable production has not been comprehensively considered, since mostly financial aspects were analyzed. Taking into account this research gap, the article presents the concept of a model and procedure for assessing maintenance from the perspective of sustainable manufacturing requirements. Authors integrate three sustainability dimensions (economic, social and environmental) with Kaplan and Norton’s balance scorecard perspectives as a basis to develop the model of maintenance sustainability performance assessment. For the model developed, the assessment procedure based on the paradigm of aggregate assessment was designed. The Choquet integral, based on the so-called λ – measure, was implemented to aggregate the measures. Then, the results of research on determining the importance and interactions between the perspectives and criteria for assessing sustainable maintenance in enterprises representing the automotive and food industries are presented.}, keywords = {}, pubstate = {published}, tppubtype = {article} } In response to the growing sustainability concerns, manufacturing companies have to formulate measures to assess sustainable manufacturing performance, aiming at integration of sustainability aspects. Although various models and methods to assess the sustainability of production processes, and point the role of maintenance have been developed in recent years, contribution of all the elements of the maintenance to the results of sustainable production has not been comprehensively considered, since mostly financial aspects were analyzed. Taking into account this research gap, the article presents the concept of a model and procedure for assessing maintenance from the perspective of sustainable manufacturing requirements. Authors integrate three sustainability dimensions (economic, social and environmental) with Kaplan and Norton’s balance scorecard perspectives as a basis to develop the model of maintenance sustainability performance assessment. For the model developed, the assessment procedure based on the paradigm of aggregate assessment was designed. The Choquet integral, based on the so-called λ – measure, was implemented to aggregate the measures. Then, the results of research on determining the importance and interactions between the perspectives and criteria for assessing sustainable maintenance in enterprises representing the automotive and food industries are presented. |
2016 |
Diering, Magdalena; Dyczkowski, Krzysztof 2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), pp. 228-232, 2016, ISSN: 2157-362X. @inproceedings{7797870, title = {Assessing the raters agreement in the diagnostic catheter tube connector production process using novel fuzzy similarity coefficient}, author = {Magdalena Diering and Krzysztof Dyczkowski}, doi = {10.1109/IEEM.2016.7797870}, issn = {2157-362X}, year = {2016}, date = {2016-12-01}, booktitle = {2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)}, pages = {228-232}, abstract = {The aim of the paper is to present the authors' novel approach to methodology for assessing the level of raters agreement (process operators, quality controllers and/or experts) and its interpretation, that is the methodology for study of reliability for qualitative characteristics. Both mathematical tools and study organizational guidelines are discussed. The method is based on the novel fuzzy similarity coefficient SC. The proposed methodology was used in a measurement system study for attributes of a tube connector of Swan-Ganz catheter production process.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } The aim of the paper is to present the authors' novel approach to methodology for assessing the level of raters agreement (process operators, quality controllers and/or experts) and its interpretation, that is the methodology for study of reliability for qualitative characteristics. Both mathematical tools and study organizational guidelines are discussed. The method is based on the novel fuzzy similarity coefficient SC. The proposed methodology was used in a measurement system study for attributes of a tube connector of Swan-Ganz catheter production process. |
Wójtowicz, Andrzej; Żywica, Patryk; Stachowiak, Anna; Dyczkowski, Krzysztof Solving the problem of incomplete data in medical diagnosis via interval modeling Journal Article Applied Soft Computing, 47 , pp. 424-437, 2016, ISSN: 1568-4946. @article{wojtowicz2016solving, title = {Solving the problem of incomplete data in medical diagnosis via interval modeling}, author = {Andrzej Wójtowicz and Patryk Żywica and Anna Stachowiak and Krzysztof Dyczkowski}, url = {https://ai.wmi.amu.edu.pl/wp-content/uploads/2020/01/2015-asoc-solving.pdf https://github.com/ovaexpert/ovarian-tumor-aggregation}, doi = {10.1016/j.asoc.2016.05.029}, issn = {1568-4946}, year = {2016}, date = {2016-01-01}, journal = {Applied Soft Computing}, volume = {47}, pages = {424-437}, publisher = {Elsevier}, abstract = {This paper presents an approach to making accurate and high-quality decisions under incomplete information. Our comprehensive approach includes interval modeling of incomplete data, uncertaintification of classical models and aggregation of incomplete results. We conducted a thorough evaluation of our approach using medical data for ovarian tumor diagnosis, where the problem of missing data is commonly encountered. The results confirmed that methods based on interval modeling and aggregation make it possible to reduce the negative impact of lack of data and lead to meaningful and accurate decisions. A diagnostic model developed in this way proved better than classical diagnostic models for ovarian tumor. Additionally, a framework in R that implements our method was created and is available for reproduction of our results. The proposed approach has been incorporated into a real-life diagnosis support system – OvaExpert.}, keywords = {}, pubstate = {published}, tppubtype = {article} } This paper presents an approach to making accurate and high-quality decisions under incomplete information. Our comprehensive approach includes interval modeling of incomplete data, uncertaintification of classical models and aggregation of incomplete results. We conducted a thorough evaluation of our approach using medical data for ovarian tumor diagnosis, where the problem of missing data is commonly encountered. The results confirmed that methods based on interval modeling and aggregation make it possible to reduce the negative impact of lack of data and lead to meaningful and accurate decisions. A diagnostic model developed in this way proved better than classical diagnostic models for ovarian tumor. Additionally, a framework in R that implements our method was created and is available for reproduction of our results. The proposed approach has been incorporated into a real-life diagnosis support system – OvaExpert. |
Stachowiak, Anna; Dyczkowski, Krzysztof; Wójtowicz, Andrzej; Żywica, Patryk; Wygralak, Maciej A bipolar view on medical diagnosis in OvaExpert system Incollection Andreasen, Troels ; Christiansen, Henning ; Kacprzyk, Janusz ; Larsen, Henrik ; Pasi, Gabriella ; Pivert, Olivier ; De Tré, Guy ; Vila, Maria Amparo ; Yazici, Adnan ; Zadrożny, Sławomir (Ed.): Flexible Query Answering Systems 2015, 400 , pp. 483-492, Springer, Cham, 2016, ISBN: 978-3-319-26153-9. @incollection{stachowiak2016bipolar, title = {A bipolar view on medical diagnosis in OvaExpert system}, author = {Anna Stachowiak and Krzysztof Dyczkowski and Andrzej Wójtowicz and Patryk Żywica and Maciej Wygralak}, editor = {Andreasen, Troels and Christiansen, Henning and Kacprzyk, Janusz and Larsen, Henrik and Pasi, Gabriella and Pivert, Olivier and De Tré, Guy and Vila, Maria Amparo and Yazici, Adnan and Zadrożny, Sławomir}, url = {https://ai.wmi.amu.edu.pl/wp-content/uploads/2020/01/fqas-2016-bipolar.pdf}, doi = {10.1007/978-3-319-26154-6_37}, isbn = {978-3-319-26153-9}, year = {2016}, date = {2016-01-01}, booktitle = {Flexible Query Answering Systems 2015}, volume = {400}, pages = {483-492}, publisher = {Springer, Cham}, series = {Advances in Intelligent Systems and Computing}, abstract = {In the paper we present OvaExpert - a unique tool for supporting gynecologists in the diagnosis of ovarian tumor, combining classical diagnostic scales with modern methods of machine learning and soft computing. A distinguishing feature of the system is its comprehensiveness, which makes it usable at any stage of a diagnostic process. We gather all the results and solutions making up the system, some of which were described in our other publications, to provide an overall picture of OvaExpert and its capabilities. A special attention is paid to a property of supporting uncertainty modeling and processing, that is an essential part of the system.}, keywords = {}, pubstate = {published}, tppubtype = {incollection} } In the paper we present OvaExpert - a unique tool for supporting gynecologists in the diagnosis of ovarian tumor, combining classical diagnostic scales with modern methods of machine learning and soft computing. A distinguishing feature of the system is its comprehensiveness, which makes it usable at any stage of a diagnostic process. We gather all the results and solutions making up the system, some of which were described in our other publications, to provide an overall picture of OvaExpert and its capabilities. A special attention is paid to a property of supporting uncertainty modeling and processing, that is an essential part of the system. |
Żywica, Patryk; Dyczkowski, Krzysztof; Wójtowicz, Andrzej; Stachowiak, Anna; Szubert, Sebastian; Moszyński, Rafał Development of a fuzzy-driven system for ovarian tumor diagnosis Journal Article Biocybernetics and Biomedical Engineering, 36 (4), pp. 632–643, 2016, ISSN: 0208-5216. @article{zywica2016development, title = {Development of a fuzzy-driven system for ovarian tumor diagnosis}, author = {Patryk Żywica and Krzysztof Dyczkowski and Andrzej Wójtowicz and Anna Stachowiak and Sebastian Szubert and Rafał Moszyński}, url = {https://ai.wmi.amu.edu.pl/wp-content/uploads/2021/09/2016-bbe-development-aom.pdf}, doi = {10.1016/j.bbe.2016.08.003}, issn = {0208-5216}, year = {2016}, date = {2016-01-01}, journal = {Biocybernetics and Biomedical Engineering}, volume = {36}, number = {4}, pages = {632--643}, publisher = {Elsevier}, abstract = {In this paper we present OvaExpert, an intelligent system for ovarian tumor diagnosis. We give an overview of its features and main design assumptions. As a theoretical framework the system uses fuzzy set theory and other soft computing techniques. This makes it possible to handle uncertainty and incompleteness of the data, which is a unique feature of the developed system. The main advantage of OvaExpert is its modular architecture which allows seamless extension of system capabilities. Three diagnostic modules are described, along with examples. The first module is based on aggregation of existing prognostic models for ovarian tumor. The second presents the novel concept of an Interval-Valued Fuzzy Classifier which is able to operate under data incompleteness and uncertainty. The third approach draws from cardinality theory of fuzzy sets and IVFSs and leads to a bipolar result that supports or rejects certain diagnoses.}, keywords = {}, pubstate = {published}, tppubtype = {article} } In this paper we present OvaExpert, an intelligent system for ovarian tumor diagnosis. We give an overview of its features and main design assumptions. As a theoretical framework the system uses fuzzy set theory and other soft computing techniques. This makes it possible to handle uncertainty and incompleteness of the data, which is a unique feature of the developed system. The main advantage of OvaExpert is its modular architecture which allows seamless extension of system capabilities. Three diagnostic modules are described, along with examples. The first module is based on aggregation of existing prognostic models for ovarian tumor. The second presents the novel concept of an Interval-Valued Fuzzy Classifier which is able to operate under data incompleteness and uncertainty. The third approach draws from cardinality theory of fuzzy sets and IVFSs and leads to a bipolar result that supports or rejects certain diagnoses. |
Szubert, Sebastian; Wójtowicz, Andrzej; Moszyński, Rafał; Żywica, Patryk; Dyczkowski, Krzysztof; Stachowiak, Anna; Sajdak, Stefan; Szpurek, Dariusz; Alcázar, Juan Luis External validation of the IOTA ADNEX model performed by two independent gynecologic centers Journal Article Gynecologic Oncology, 142 (3), pp. 490-495, 2016, ISSN: 0090-8258. @article{szubert2016external, title = {External validation of the IOTA ADNEX model performed by two independent gynecologic centers}, author = {Sebastian Szubert and Andrzej Wójtowicz and Rafał Moszyński and Patryk Żywica and Krzysztof Dyczkowski and Anna Stachowiak and Stefan Sajdak and Dariusz Szpurek and Juan Luis Alcázar}, url = {https://ai.wmi.amu.edu.pl/wp-content/uploads/2021/09/2016-go-external-aom.pdf}, doi = {10.1016/j.ygyno.2016.06.020}, issn = {0090-8258}, year = {2016}, date = {2016-01-01}, journal = {Gynecologic Oncology}, volume = {142}, number = {3}, pages = {490-495}, publisher = {Academic Press}, abstract = {OBJECTIVES: The external, two-center validation of the IOTA ADNEX model for differential diagnosis of adnexal tumors. METHODS: A total of 204 patients with adnexal masses (134 benign and 70 malignant) treated at the Division of Gynecologic Surgery, Poznan University of Medical Sciences, Poland (Center I), and 123 patients (89 benign and 34 malignant) from the Department of Obstetrics and Gynecology, Clinica Universidad de Navarra, University of Navarra School of Medicine, Pamplona, Spain (Center II), were enrolled into the study. RESULTS: ADNEX achieved high accuracy in discriminating between malignant and benign ovarian tumors in both centers (79.9% and 81.3% in Centers I and II, respectively). Multiclass accuracy was substantially lower than in binary classification (malignant vs. benign): 64.2% and 74.0% in Centers I and II, respectively. Sensitivity and specificity for the diagnosis of specific tumor types in Center I were as follows: benign tumors - 72.4% and 94.3%; borderline tumors - 33.3% and 87.0%, stage I ovarian cancers - 00.0% and 91.8%; stage II-IV ovarian cancers - 68.2% and 83.1%; and metastatic tumors - 00.0% and 99.5%. Sensitivity and specificity in Center II were as follows: benign tumors - 75.3% and 97.1%; borderline tumors - 50.0% and 88.2%, stage I ovarian cancers - 40.0% and 97.5%; stage II-IV ovarian cancers - 95.0% and 88.3%; and metastatic tumors - 20.0% and 98.3%. CONCLUSIONS: ADNEX is characterized by very high accuracy in differentiating between malignant and benign adnexal tumors. However, prediction of ovarian tumor types could be more accurate.}, keywords = {}, pubstate = {published}, tppubtype = {article} } OBJECTIVES: The external, two-center validation of the IOTA ADNEX model for differential diagnosis of adnexal tumors. METHODS: A total of 204 patients with adnexal masses (134 benign and 70 malignant) treated at the Division of Gynecologic Surgery, Poznan University of Medical Sciences, Poland (Center I), and 123 patients (89 benign and 34 malignant) from the Department of Obstetrics and Gynecology, Clinica Universidad de Navarra, University of Navarra School of Medicine, Pamplona, Spain (Center II), were enrolled into the study. RESULTS: ADNEX achieved high accuracy in discriminating between malignant and benign ovarian tumors in both centers (79.9% and 81.3% in Centers I and II, respectively). Multiclass accuracy was substantially lower than in binary classification (malignant vs. benign): 64.2% and 74.0% in Centers I and II, respectively. Sensitivity and specificity for the diagnosis of specific tumor types in Center I were as follows: benign tumors - 72.4% and 94.3%; borderline tumors - 33.3% and 87.0%, stage I ovarian cancers - 00.0% and 91.8%; stage II-IV ovarian cancers - 68.2% and 83.1%; and metastatic tumors - 00.0% and 99.5%. Sensitivity and specificity in Center II were as follows: benign tumors - 75.3% and 97.1%; borderline tumors - 50.0% and 88.2%, stage I ovarian cancers - 40.0% and 97.5%; stage II-IV ovarian cancers - 95.0% and 88.3%; and metastatic tumors - 20.0% and 98.3%. CONCLUSIONS: ADNEX is characterized by very high accuracy in differentiating between malignant and benign adnexal tumors. However, prediction of ovarian tumor types could be more accurate. |
Mazurek, C; Pawałowski, P; Szymaniak, P; Leszczuk, M; Papir, Z; Hołubowicz, W; Flizikowski, A; Dyczkowski, Krzysztof Nowe rozwiązania w zakresie systemów do strumieniowania obrazu ruchomego w sieciach bezprzewodowych Journal Article Przegląd Telekomunikacyjny + Wiadomości Telekomunikacyjne, nr 6 , pp. 576–579, 2016. @article{MPSLPHFD2016, title = {Nowe rozwiązania w zakresie systemów do strumieniowania obrazu ruchomego w sieciach bezprzewodowych}, author = {C Mazurek and P Pawałowski and P Szymaniak and M Leszczuk and Z Papir and W Hołubowicz and A Flizikowski and Krzysztof Dyczkowski}, year = {2016}, date = {2016-01-01}, journal = {Przegląd Telekomunikacyjny + Wiadomości Telekomunikacyjne}, volume = {nr 6}, pages = {576--579}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Szubert, Sebastian; Wójtowicz, Andrzej; Żywica, Patryk Response to letter to the editor concerning validation of IOTA ADNEX model Journal Article Gynecologic Oncology Reports, 18 , pp. 51-52, 2016, ISSN: 2352-5789. @article{szubert2016response, title = {Response to letter to the editor concerning validation of IOTA ADNEX model}, author = {Sebastian Szubert and Andrzej Wójtowicz and Patryk Żywica}, doi = {10.1016/j.gore.2016.10.009}, issn = {2352-5789}, year = {2016}, date = {2016-01-01}, journal = {Gynecologic Oncology Reports}, volume = {18}, pages = {51-52}, publisher = {Elsevier}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
2015 |
Dyczkowski, Krzysztof; Stachowiak, Anna; Wójtowicz, Andrzej; Żywica, Patryk A fuzzy cardinality based method to aggregate decisions in IVFS environment Miscellaneous The 2nd International Symposium on Fuzzy Sets (ISFS 2015), December 3-4, 2015, Rzeszów, Poland, reviewed abstract, 2015. @misc{dyczkowski2015fuzzy, title = {A fuzzy cardinality based method to aggregate decisions in IVFS environment}, author = {Krzysztof Dyczkowski and Anna Stachowiak and Andrzej Wójtowicz and Patryk Żywica}, url = {https://ai.wmi.amu.edu.pl/wp-content/uploads/2020/01/2015-isfs-fuzzy.pdf}, year = {2015}, date = {2015-12-03}, howpublished = {The 2nd International Symposium on Fuzzy Sets (ISFS 2015), December 3-4, 2015, Rzeszów, Poland, reviewed abstract}, keywords = {}, pubstate = {published}, tppubtype = {misc} } |
Szubert, Sebastian; Moszyński, Rafał; Dyczkowski, Krzysztof; Żywica, Patryk; Stachowiak, Anna; Wójtowicz, Andrzej; Sajdak, Stefan; Szpurek, Dariusz XXXII Congress of Polish Gynecology Society, September 3-5, 2015, Łodź, Poland, reviewed abstract, 2015. @misc{szubert2015ovaexpert, title = {OvaExpert system successfully differentiates ovarian tumors using imprecise and incomplete information – results of preliminary research}, author = {Sebastian Szubert and Rafał Moszyński and Krzysztof Dyczkowski and Patryk Żywica and Anna Stachowiak and Andrzej Wójtowicz and Stefan Sajdak and Dariusz Szpurek}, url = {https://ai.wmi.amu.edu.pl/wp-content/uploads/2020/01/2015-abstract-system.pdf}, year = {2015}, date = {2015-09-03}, howpublished = { XXXII Congress of Polish Gynecology Society, September 3-5, 2015, Łodź, Poland, reviewed abstract}, keywords = {}, pubstate = {published}, tppubtype = {misc} } |
Moszyński, Rafał; Szubert, Sebastian; Żywica, Patryk; Wójtowicz, Andrzej; Stachowiak, Anna; Dyczkowski, Krzysztof; Wygralak, Maciej; Szpurek, Dariusz; Sajdak, Stefan PROCA – new diagnostic tool for pre-operative decision support of women with ovarian tumors Miscellaneous XXXII Congress of Polish Gynecology Society, September 3-5, 2015, Łodź, Poland, reviewed abstract, 2015. @misc{moszynski2015proca, title = {PROCA – new diagnostic tool for pre-operative decision support of women with ovarian tumors}, author = {Rafał Moszyński and Sebastian Szubert and Patryk Żywica and Andrzej Wójtowicz and Anna Stachowiak and Krzysztof Dyczkowski and Maciej Wygralak and Dariusz Szpurek and Stefan Sajdak}, url = {https://ai.wmi.amu.edu.pl/wp-content/uploads/2020/01/2014-abstract-proca.pdf}, year = {2015}, date = {2015-09-03}, howpublished = {XXXII Congress of Polish Gynecology Society, September 3-5, 2015, Łodź, Poland, reviewed abstract}, keywords = {}, pubstate = {published}, tppubtype = {misc} } |
Żywica, Patryk; Stachowiak, Anna; Wygralak, Maciej An algorithmic study of relative cardinalities for interval-valued fuzzy sets Journal Article Fuzzy Sets and Systems, 294 , pp. 105–124, 2015, ISSN: 0165-0114. @article{zywica2015algorithmic, title = {An algorithmic study of relative cardinalities for interval-valued fuzzy sets}, author = {Patryk Żywica and Anna Stachowiak and Maciej Wygralak}, url = {https://ai.wmi.amu.edu.pl/wp-content/uploads/2020/01/2015-fss-algorithmic-small.pdf https://ai.wmi.amu.edu.pl/wp-content/uploads/2020/01/RelativeCardinality.zip}, doi = {10.1016/j.fss.2015.11.007}, issn = {0165-0114}, year = {2015}, date = {2015-01-01}, journal = {Fuzzy Sets and Systems}, volume = {294}, pages = {105--124}, publisher = {North-Holland}, abstract = {The main topic of this paper is the notion of relative cardinality for interval-valued fuzzy sets – its definition, properties and computation. First we define relative cardinality for interval-valued fuzzy sets following the concept of uncertainty modelling given by Mendel's Wavy-Slice Representation Theorem. We expand on previous approaches by considering relative cardinality based on different t-norms and scalar cardinalities and we initiate an investigation of its properties and possible applications. Drawing on the Nguyen–Kreinovich and Karnik–Mendel algorithms, we propose efficient algorithms to compute relative cardinality depending on a chosen t-norm. This seems to be the first such broad and consistent analysis to have been made of relative cardinality for interval-valued fuzzy sets. As a promising application we consider using interval-valued relative cardinality to construct the family of parameterised subsethood measures.}, keywords = {}, pubstate = {published}, tppubtype = {article} } The main topic of this paper is the notion of relative cardinality for interval-valued fuzzy sets – its definition, properties and computation. First we define relative cardinality for interval-valued fuzzy sets following the concept of uncertainty modelling given by Mendel's Wavy-Slice Representation Theorem. We expand on previous approaches by considering relative cardinality based on different t-norms and scalar cardinalities and we initiate an investigation of its properties and possible applications. Drawing on the Nguyen–Kreinovich and Karnik–Mendel algorithms, we propose efficient algorithms to compute relative cardinality depending on a chosen t-norm. This seems to be the first such broad and consistent analysis to have been made of relative cardinality for interval-valued fuzzy sets. As a promising application we consider using interval-valued relative cardinality to construct the family of parameterised subsethood measures. |
Żywica, Patryk; Wójtowicz, Andrzej; Stachowiak, Anna; Dyczkowski, Krzysztof Improving medical decisions under incomplete data using interval-valued fuzzy aggregation Inproceedings Alonso, José M; Bustince, Humberto; Reformat, Marek (Ed.): 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), pp. 577-584, Atlantis Press, 2015, ISBN: 978-94-62520-77-6. @inproceedings{zywica2015improving, title = {Improving medical decisions under incomplete data using interval-valued fuzzy aggregation}, author = {Patryk Żywica and Andrzej Wójtowicz and Anna Stachowiak and Krzysztof Dyczkowski}, editor = {José M. Alonso and Humberto Bustince and Marek Reformat}, url = {https://download.atlantis-press.com/article/23594.pdf}, doi = {10.2991/ifsa-eusflat-15.2015.83}, isbn = {978-94-62520-77-6}, year = {2015}, date = {2015-01-01}, booktitle = {2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15)}, volume = {89}, pages = {577-584}, publisher = {Atlantis Press}, series = {Advances in Intelligent Systems Research}, abstract = {We state a problem concerning how to make an effective and proper decision in the presence of data incompleteness. As an example we consider a medical diagnostic system where the problem of missing data is commonly encountered. We propose and evaluate an approach that makes it possible to reduce the influence of missing data on the final result and to improve the quality of the decision. The process involves interval-valued fuzzy set modelling, uncertaintification of classical methods, and finally aggregation of the incomplete results. It was verified that the aggregation results in meaningful and accurate decisions despite the missing data.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } We state a problem concerning how to make an effective and proper decision in the presence of data incompleteness. As an example we consider a medical diagnostic system where the problem of missing data is commonly encountered. We propose and evaluate an approach that makes it possible to reduce the influence of missing data on the final result and to improve the quality of the decision. The process involves interval-valued fuzzy set modelling, uncertaintification of classical methods, and finally aggregation of the incomplete results. It was verified that the aggregation results in meaningful and accurate decisions despite the missing data. |
Dyczkowski, Krzysztof; Wójtowicz, Andrzej; Żywica, Patryk; Stachowiak, Anna; Moszyński, Rafał; Szubert, Sebastian An intelligent system for computer-aided ovarian tumor diagnosis Incollection Filev, Dimitar; Jabłkowski, Jan; Kacprzyk, Janusz; Krawczak, Maciej; Popchev, Ivan; Rutkowski, Leszek; Sgurev, Vassil; Sotirova, Evdokia; Szynkarczyk, Piotr; Zadrożny, Sławomir (Ed.): Intelligent Systems'2014, 323 , pp. 335-343, Springer, Cham, 2015, ISBN: 978-3-319-11309-8. @incollection{dyczkowski2015intelligent, title = {An intelligent system for computer-aided ovarian tumor diagnosis}, author = {Krzysztof Dyczkowski and Andrzej Wójtowicz and Patryk Żywica and Anna Stachowiak and Rafał Moszyński and Sebastian Szubert}, editor = {Dimitar Filev and Jan Jabłkowski and Janusz Kacprzyk and Maciej Krawczak and Ivan Popchev and Leszek Rutkowski and Vassil Sgurev and Evdokia Sotirova and Piotr Szynkarczyk and Sławomir Zadrożny}, url = {https://ai.wmi.amu.edu.pl/wp-content/uploads/2020/01/2014-is-intelligent.pdf}, doi = {10.1007/978-3-319-11310-4_29}, isbn = {978-3-319-11309-8}, year = {2015}, date = {2015-01-01}, booktitle = {Intelligent Systems'2014}, volume = {323}, pages = {335-343}, publisher = {Springer, Cham}, series = {Advances in Intelligent Systems and Computing}, abstract = {This article describes the fundamentals of an intelligent decision support system for the diagnosis of ovarian tumors. The system is designed to support diagnosis by less experienced gynecologists, and to gather data for continuous improvement of the quality of diagnosis. The theoretical basis for the construction of the system is the IF-sets framework, used to aggregate multiple decision-making methods, and simultaneously providing information about positive and negative diagnosis of a given tumor type.}, keywords = {}, pubstate = {published}, tppubtype = {incollection} } This article describes the fundamentals of an intelligent decision support system for the diagnosis of ovarian tumors. The system is designed to support diagnosis by less experienced gynecologists, and to gather data for continuous improvement of the quality of diagnosis. The theoretical basis for the construction of the system is the IF-sets framework, used to aggregate multiple decision-making methods, and simultaneously providing information about positive and negative diagnosis of a given tumor type. |
Stachowiak, Anna; Żywica, Patryk; Dyczkowski, Krzysztof; Wójtowicz, Andrzej An interval-valued fuzzy classifier based on an uncertainty-aware similarity measure Incollection Angelov, Plamen; Atanassov, Krassimir Todorov; Doukovska, Lyubka; Hadjiski, Mincho; Jotsov, Vladimir; Kacprzyk, Janusz; Kasabov, Nikola; Sotirov, Sotir; Szmidt, Eulalia; Zadrożny, Sławomir (Ed.): Intelligent Systems'2014, 322 , pp. 741-751, Springer, Cham, 2015, ISBN: 978-3-319-11313-5. @incollection{stachowiak2015interval, title = {An interval-valued fuzzy classifier based on an uncertainty-aware similarity measure}, author = {Anna Stachowiak and Patryk Żywica and Krzysztof Dyczkowski and Andrzej Wójtowicz}, editor = {Plamen Angelov and Krassimir Todorov Atanassov and Lyubka Doukovska and Mincho Hadjiski and Vladimir Jotsov and Janusz Kacprzyk and Nikola Kasabov and Sotir Sotirov and Eulalia Szmidt and Sławomir Zadrożny}, url = {https://ai.wmi.amu.edu.pl/wp-content/uploads/2020/01/2014-is-interval.pdf}, doi = {10.1007/978-3-319-11313-5_65}, isbn = {978-3-319-11313-5}, year = {2015}, date = {2015-01-01}, booktitle = {Intelligent Systems'2014}, volume = {322}, pages = {741-751}, publisher = {Springer, Cham}, series = {Advances in Intelligent Systems and Computing}, abstract = {In this paper we propose a new method for classifying uncertain data, modeled as interval-valued fuzzy sets. We develop the notion of an interval-valued prototype-based fuzzy classifier, with the idea of preserving full information including the uncertainty factor about data during the classification process. To this end, the classifier was based on the uncertainty-aware similarity measure, a new concept which we introduce and give an axiomatic definition for. Moreover, an algorithm for determining such a similarity value is proposed, and an application to supporting medical diagnosis is described.}, keywords = {}, pubstate = {published}, tppubtype = {incollection} } In this paper we propose a new method for classifying uncertain data, modeled as interval-valued fuzzy sets. We develop the notion of an interval-valued prototype-based fuzzy classifier, with the idea of preserving full information including the uncertainty factor about data during the classification process. To this end, the classifier was based on the uncertainty-aware similarity measure, a new concept which we introduce and give an axiomatic definition for. Moreover, an algorithm for determining such a similarity value is proposed, and an application to supporting medical diagnosis is described. |
Wójtowicz, Andrzej; Żywica, Patryk; Stachowiak, Anna; Dyczkowski, Krzysztof Interval-valued aggregation as a tool to improve medical diagnosis Inproceedings Baczyński, Michał; De Baets, Bernard ; Mesiar, Radko (Ed.): Proceedings of 8th International Summer School on Aggregation Operators (AGOP 2015), pp. 239-244, University of Silesia, July 7-10, 2015, Katowice, Poland, 2015, ISBN: 978-83-8012-519-3. @inproceedings{wojtowicz2015interval, title = {Interval-valued aggregation as a tool to improve medical diagnosis}, author = {Andrzej Wójtowicz and Patryk Żywica and Anna Stachowiak and Krzysztof Dyczkowski}, editor = {Michał Baczyński and Bernard {De Baets} and Radko Mesiar}, url = {https://ai.wmi.amu.edu.pl/wp-content/uploads/2020/01/2014-agop-aggregation.pdf}, isbn = {978-83-8012-519-3}, year = {2015}, date = {2015-01-01}, booktitle = {Proceedings of 8th International Summer School on Aggregation Operators (AGOP 2015)}, journal = {AGOP 2015}, pages = {239-244}, publisher = {University of Silesia}, address = {July 7-10, 2015, Katowice, Poland}, abstract = {In the paper we present experimental results on the problem of an effective decision making on incomplete data. In order to investigate this problem we examined a variety of interval aggregation methods. Exemplary results are based on a medical diagnosis support system. Our research shows that an application of the aggregation in this problem leads to promising results.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } In the paper we present experimental results on the problem of an effective decision making on incomplete data. In order to investigate this problem we examined a variety of interval aggregation methods. Exemplary results are based on a medical diagnosis support system. Our research shows that an application of the aggregation in this problem leads to promising results. |
Żywica, Patryk; Wójtowicz, Andrzej; Stachowiak, Anna; Dyczkowski, Krzysztof Improving medical decisions under incomplete data using interval–valued fuzzy aggregation Miscellaneous Mathware & Soft Computing Magazine, 22 (1), p. 29, abstract, 2015, ISSN: 1134-5632. @misc{zywica2015improving2, title = {Improving medical decisions under incomplete data using interval–valued fuzzy aggregation}, author = {Patryk Żywica and Andrzej Wójtowicz and Anna Stachowiak and Krzysztof Dyczkowski}, url = {https://ai.wmi.amu.edu.pl/wp-content/uploads/2020/01/2019-abstract-mathware.pdf}, issn = {1134-5632}, year = {2015}, date = {2015-01-01}, volume = {22}, number = {1}, pages = {29}, howpublished = {Mathware & Soft Computing Magazine, 22 (1), p. 29, abstract}, keywords = {}, pubstate = {published}, tppubtype = {misc} } |
Diering, Magdalena; Dyczkowski, Krzysztof; Hamrol, Adam New Method for Assessment of Raters Agreement Based on Fuzzy Similarity Book Chapter Herrero, Álvaro; Sedano, Javier; Baruque, Bruno; Quintián, Héctor; Corchado, Emilio (Ed.): 10th International Conference on Soft Computing Models in Industrial and Environmental Applications, 368 , pp. 415–425, Springer International Publishing, Cham, 2015, ISBN: 978-3-319-19719-7. @inbook{10.1007/978-3-319-19719-7_36, title = {New Method for Assessment of Raters Agreement Based on Fuzzy Similarity}, author = {Magdalena Diering and Krzysztof Dyczkowski and Adam Hamrol}, editor = {Álvaro Herrero and Javier Sedano and Bruno Baruque and Héctor Quintián and Emilio Corchado}, doi = {https://doi.org/10.1007/978-3-319-19719-7_36}, isbn = {978-3-319-19719-7}, year = {2015}, date = {2015-01-01}, booktitle = {10th International Conference on Soft Computing Models in Industrial and Environmental Applications}, volume = {368}, pages = {415--425}, publisher = {Springer International Publishing}, address = {Cham}, series = {Advances in Intelligent Systems and Computing }, abstract = {In measurement systems one of the components affecting its variation is a human factor. Man - as a process operator - measures or rates the product. Since his decisions may have significant impact on the customer satisfaction, his reliability and usefulness for the measuring tasks should be evaluated. This article describes authors proposal for a new measurement system analysis methodology for unmeasurable features. In this method many features of the product are rated during one study, and the value of them can be expressed in a nominal or an ordinal (with imprecise data) measurement scale, and each of the features can be weighted (as less or more important from the customer point of view). The goal of the methodology is to gain information about raters' ability to define the value of each feature in relation to the specification and customer requirements. The authors propose to use a similarity measure for rates assignment of product features values. The method is based on the new fuzzy similarity coefficient $$SC$$SC, and the level of agreement of the final decisions of the raters is analyzed based on Gwet's $$AC_1$$AC1coefficient.}, keywords = {}, pubstate = {published}, tppubtype = {inbook} } In measurement systems one of the components affecting its variation is a human factor. Man - as a process operator - measures or rates the product. Since his decisions may have significant impact on the customer satisfaction, his reliability and usefulness for the measuring tasks should be evaluated. This article describes authors proposal for a new measurement system analysis methodology for unmeasurable features. In this method many features of the product are rated during one study, and the value of them can be expressed in a nominal or an ordinal (with imprecise data) measurement scale, and each of the features can be weighted (as less or more important from the customer point of view). The goal of the methodology is to gain information about raters' ability to define the value of each feature in relation to the specification and customer requirements. The authors propose to use a similarity measure for rates assignment of product features values. The method is based on the new fuzzy similarity coefficient $$SC$$SC, and the level of agreement of the final decisions of the raters is analyzed based on Gwet's $$AC_1$$AC1coefficient. |
Żywica, Patryk; Apolinarski, Szymon; Kubiński, Błażej OvaExpert: An intelligent medical diagnosis support system for ovarian tumor Journal Article Journal of Medical Informatics and Technologies, 24 , pp. 183–190, 2015, ISSN: 1642-6037. @article{zywica2015ovaexpert, title = {OvaExpert: An intelligent medical diagnosis support system for ovarian tumor}, author = {Patryk Żywica and Szymon Apolinarski and Błażej Kubiński}, url = {https://ai.wmi.amu.edu.pl/wp-content/uploads/2020/01/2015-mit-ovaexpert.pdf http://jmit.us.edu.pl/cms/jmitjrn/24/09_Zywica.pdf}, issn = {1642-6037}, year = {2015}, date = {2015-01-01}, journal = {Journal of Medical Informatics and Technologies}, volume = {24}, pages = {183--190}, abstract = {In this paper we present OvaExpert, an intelligent system for ovarian tumor diagnosis. We give an overview of its features and main design assumptions. As a theoretical framework the system uses fuzzy set theory and other soft computing techniques. This makes it possible to handle uncertainty and incompleteness of the data which is an unique feature of developed system. The main advantage of OvaExpert is its modular architecture which allows seamless extension of system capabilities. Two diagnostic modules are described in the paper along with examples. First module is based on aggregation of existing prognostic models for ovarian tumor. Second, on novel concept of Interval– Valued Fuzzy Classifier which is able to operate under data incompleteness and uncertainty.}, keywords = {}, pubstate = {published}, tppubtype = {article} } In this paper we present OvaExpert, an intelligent system for ovarian tumor diagnosis. We give an overview of its features and main design assumptions. As a theoretical framework the system uses fuzzy set theory and other soft computing techniques. This makes it possible to handle uncertainty and incompleteness of the data which is an unique feature of developed system. The main advantage of OvaExpert is its modular architecture which allows seamless extension of system capabilities. Two diagnostic modules are described in the paper along with examples. First module is based on aggregation of existing prognostic models for ovarian tumor. Second, on novel concept of Interval– Valued Fuzzy Classifier which is able to operate under data incompleteness and uncertainty. |
2014 |
Moszyński, Rafał; Szubert, Sebastian; Żywica, Patryk; Wójtowicz, Andrzej; Sajdak, Stefan; Stachowiak, Anna; Dyczkowski, Krzysztof; Wygralak, Maciej; Szpurek, Dariusz 16th World Congress of Gynecological Endocrinology, March 5-8, 2014, Florence, Italy, reviewed abstract, 2014. @misc{moszynski2014external, title = {External validation of selected predictive models in differential diagnosis of adnexal masses difficult to classify as benign or malignant}, author = {Rafał Moszyński and Sebastian Szubert and Patryk Żywica and Andrzej Wójtowicz and Stefan Sajdak and Anna Stachowiak and Krzysztof Dyczkowski and Maciej Wygralak and Dariusz Szpurek}, url = {https://ai.wmi.amu.edu.pl/wp-content/uploads/2020/01/2015-abstract-external.pdf}, year = {2014}, date = {2014-03-05}, howpublished = {16th World Congress of Gynecological Endocrinology, March 5-8, 2014, Florence, Italy, reviewed abstract}, keywords = {}, pubstate = {published}, tppubtype = {misc} } |
Żywica, Patryk; Stachowiak, Anna A new method for computing relative cardinality of IFSs with algebraic t-norm Incollection Modern Approaches in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and Related Topics. Volume I: Foundations, pp. 181–189, IBS PAN - SRI PAS, 2014. @incollection{zywica2014new, title = {A new method for computing relative cardinality of IFSs with algebraic t-norm}, author = {Patryk Żywica and Anna Stachowiak}, year = {2014}, date = {2014-01-01}, booktitle = {Modern Approaches in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and Related Topics. Volume I: Foundations}, pages = {181--189}, publisher = {IBS PAN - SRI PAS}, keywords = {}, pubstate = {published}, tppubtype = {incollection} } |
Wójtowicz, Andrzej; Żywica, Patryk; Szarzyński, Krzysztof; Moszyński, Rafał; Szubert, Sebastian; Dyczkowski, Krzysztof; Stachowiak, Anna; Szpurek, Dariusz; Wygralak, Maciej Dealing with Uncertainty in Ovarian Tumor Diagnosis Incollection Atanassov, Krassimir Todorov; Homenda, Władysław; Hryniewicz, Olgierd; Kacprzyk, Janusz; Krawczak, Maciej; Nahorski, Zbigniew; Szmidt, Eulalia; Zadrożny, Sławomir (Ed.): Modern Approaches in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and Related Topics. Volume II: Applications, pp. 151-158, IBS PAN - SRI PAS, 2014, ISBN: 838947554-5. @incollection{wojtowicz2014dealing, title = {Dealing with Uncertainty in Ovarian Tumor Diagnosis}, author = {Andrzej Wójtowicz and Patryk Żywica and Krzysztof Szarzyński and Rafał Moszyński and Sebastian Szubert and Krzysztof Dyczkowski and Anna Stachowiak and Dariusz Szpurek and Maciej Wygralak}, editor = {Krassimir Todorov Atanassov and Władysław Homenda and Olgierd Hryniewicz and Janusz Kacprzyk and Maciej Krawczak and Zbigniew Nahorski and Eulalia Szmidt and Sławomir Zadrożny}, url = {https://ai.wmi.amu.edu.pl/wp-content/uploads/2020/01/2014-iwifsgn-dealing.pdf}, isbn = {838947554-5}, year = {2014}, date = {2014-01-01}, booktitle = {Modern Approaches in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and Related Topics. Volume II: Applications}, pages = {151-158}, publisher = {IBS PAN - SRI PAS}, abstract = {In this paper we consider applications of bipolarity in modelling problems encountered in ovarian tumor diagnosis. We focus on imprecision of data obtained by a gynaecologist during examinations. We also present a wide range of predictive diagnostic models and propose a new idea for their improvement.}, keywords = {}, pubstate = {published}, tppubtype = {incollection} } In this paper we consider applications of bipolarity in modelling problems encountered in ovarian tumor diagnosis. We focus on imprecision of data obtained by a gynaecologist during examinations. We also present a wide range of predictive diagnostic models and propose a new idea for their improvement. |
Moszyński, Rafał; Żywica, Patryk; Wójtowicz, Andrzej; Szubert, Sebastian; Sajdak, Stefan; Stachowiak, Anna; Dyczkowski, Krzysztof; Wygralak, Maciej; Szpurek, Dariusz Ginekologia Polska, 85 (12), pp. 892-899, 2014, ISSN: 0017-0011. @article{moszynski2014menopausal, title = {Menopausal status strongly influences the utility of predictive models in differential diagnosis of ovarian tumors: An external validation of selected diagnostic tools}, author = {Rafał Moszyński and Patryk Żywica and Andrzej Wójtowicz and Sebastian Szubert and Stefan Sajdak and Anna Stachowiak and Krzysztof Dyczkowski and Maciej Wygralak and Dariusz Szpurek}, url = {https://journals.viamedica.pl/ginekologia_polska/article/view/45789}, doi = {10.17772/gp/1879}, issn = {0017-0011}, year = {2014}, date = {2014-01-01}, journal = {Ginekologia Polska}, volume = {85}, number = {12}, pages = {892-899}, publisher = {Polskie Towarzystwo Ginekologiczne}, abstract = {OBJECTIVES: The aim of this study was to externally validate the diagnostic performance of the International Ovarian Tumor Analysis logistic regression models (LR1 and LR2, 2005) and other popular prognostic models including the Timmerman logistic regression model (1999), the Alcazar model (2003), the risk of malignancy index (RMI, 1990), and the risk of malignancy algorithm (ROMA, 2009). We compared these models to subjective ultrasonographic assessment performed by an experienced ultrasonography specialist, and with our previously developed scales: the sonomorphologic index and the vascularization index. Furthermore, we evaluated diagnostic tests with regard to the menopausal status of patients. MATERIALS AND METHODS: This study included 268 patients with adnexal masses; 167 patients with benign ovarian tumors and 101 patients with malignant ovarian tumors were enrolled. All tumors were evaluated by using trans- vaginal ultrasonography according to the diagnostic criteria of the analyzed models. MATERIALS AND METHODS: This study included 268 patients with adnexal masses; 167 patients with benign ovarian tumors and 101 patients with malignant ovarian tumors were enrolled. All tumors were evaluated by using trans- vaginal ultrasonography according to the diagnostic criteria of the analyzed models. RESULTS: The subjective ultrasonographic assessment and all of the studied predictive models achieved similar diagnostic performance in the whole study population. However significant differences were observed when pre- and postmenopausal patients were analyzed separately In the subgroup of premenopausal patients, the highest area under the curve (AUC) was achieved by subjective ultrasonographic assessment (0.931), the Alcazar model (0.912), and LR1 (0.909). Alternatively in the group of postmenopausal patients, the highest AUC was noted for the Timmerman model (0.973), ROMA (0.951), and RMI (0.938). CONCLUSIONS: Menopausal status is a key factor that affects the utility of prognostic models for differential diagno sis of ovarian tumors. Diagnostic models of ovarian tumors are reasonable tools for predicting tumor malignancy}, keywords = {}, pubstate = {published}, tppubtype = {article} } OBJECTIVES: The aim of this study was to externally validate the diagnostic performance of the International Ovarian Tumor Analysis logistic regression models (LR1 and LR2, 2005) and other popular prognostic models including the Timmerman logistic regression model (1999), the Alcazar model (2003), the risk of malignancy index (RMI, 1990), and the risk of malignancy algorithm (ROMA, 2009). We compared these models to subjective ultrasonographic assessment performed by an experienced ultrasonography specialist, and with our previously developed scales: the sonomorphologic index and the vascularization index. Furthermore, we evaluated diagnostic tests with regard to the menopausal status of patients. MATERIALS AND METHODS: This study included 268 patients with adnexal masses; 167 patients with benign ovarian tumors and 101 patients with malignant ovarian tumors were enrolled. All tumors were evaluated by using trans- vaginal ultrasonography according to the diagnostic criteria of the analyzed models. MATERIALS AND METHODS: This study included 268 patients with adnexal masses; 167 patients with benign ovarian tumors and 101 patients with malignant ovarian tumors were enrolled. All tumors were evaluated by using trans- vaginal ultrasonography according to the diagnostic criteria of the analyzed models. RESULTS: The subjective ultrasonographic assessment and all of the studied predictive models achieved similar diagnostic performance in the whole study population. However significant differences were observed when pre- and postmenopausal patients were analyzed separately In the subgroup of premenopausal patients, the highest area under the curve (AUC) was achieved by subjective ultrasonographic assessment (0.931), the Alcazar model (0.912), and LR1 (0.909). Alternatively in the group of postmenopausal patients, the highest AUC was noted for the Timmerman model (0.973), ROMA (0.951), and RMI (0.938). CONCLUSIONS: Menopausal status is a key factor that affects the utility of prognostic models for differential diagno sis of ovarian tumors. Diagnostic models of ovarian tumors are reasonable tools for predicting tumor malignancy |
2013 |
Stachowiak, Anna; Dyczkowski, Krzysztof A similarity measure with uncertainty for incompletely known fuzzy sets Conference 2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), IFSA/NAFIPS IEEE, Edmonton, AB, Canada, 2013, ISBN: 978-1-4799-0348-1. @conference{Stachowiak2013, title = {A similarity measure with uncertainty for incompletely known fuzzy sets}, author = {Anna Stachowiak and Krzysztof Dyczkowski }, doi = {https://doi.org/10.1109/IFSA-NAFIPS.2013.6608432}, isbn = {978-1-4799-0348-1}, year = {2013}, date = {2013-06-24}, booktitle = {2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS)}, pages = {390-394}, publisher = {IEEE}, address = {Edmonton, AB, Canada}, organization = {IFSA/NAFIPS}, abstract = {his paper is devoted to the problem of measuring similarity between pieces of uncertain (incomplete) information in the framework of I-fuzzy set theory (Atanassov's intuitionistic fuzzy sets and interval-valued fuzzy sets). We propose a way of determining an interval-valued similarity measure of I-fuzzy sets that preserves information about the operands' uncertainty by approximating lower and upper bounds of similarity degrees. We discuss some of the desirable properties of this measure and illustrate it with an example application in recommender systems.}, keywords = {}, pubstate = {published}, tppubtype = {conference} } his paper is devoted to the problem of measuring similarity between pieces of uncertain (incomplete) information in the framework of I-fuzzy set theory (Atanassov's intuitionistic fuzzy sets and interval-valued fuzzy sets). We propose a way of determining an interval-valued similarity measure of I-fuzzy sets that preserves information about the operands' uncertainty by approximating lower and upper bounds of similarity degrees. We discuss some of the desirable properties of this measure and illustrate it with an example application in recommender systems. |
2012 |
Dyczkowski, Krzysztof; Stachowiak, Anna A Recommender System with Uncertainty on the Example of Political Elections Book Chapter Greco, Salvatore; Bouchon-Meunier, Bernadette; Coletti, Giulianella; Fedrizzi, Mario; Matarazzo, Benedetto; Yager, Ronald R (Ed.): 298 , pp. 441–449, Springer Berlin Heidelberg, Berlin, Heidelberg, 2012, ISBN: 978-3-642-31715-6. @inbook{10.1007/978-3-642-31715-6_47, title = {A Recommender System with Uncertainty on the Example of Political Elections}, author = {Krzysztof Dyczkowski and Anna Stachowiak}, editor = {Salvatore Greco and Bernadette Bouchon-Meunier and Giulianella Coletti and Mario Fedrizzi and Benedetto Matarazzo and Ronald R Yager}, doi = {https://doi.org/10.1007/978-3-642-31715-6_47}, isbn = {978-3-642-31715-6}, year = {2012}, date = {2012-01-01}, volume = {298}, pages = {441--449}, publisher = {Springer Berlin Heidelberg}, address = {Berlin, Heidelberg}, series = {Communications in Computer and Information Science}, abstract = {The article presents a system of election recommendation in which both candidate's and voter's preferences can be described in an imprecise way. The model of the system is based on IF-set theory which can express hesitation or lack of knowledge. Similarity measures of IF-sets and linguistic quantifiers are used in the decision-making process.}, keywords = {}, pubstate = {published}, tppubtype = {inbook} } The article presents a system of election recommendation in which both candidate's and voter's preferences can be described in an imprecise way. The model of the system is based on IF-set theory which can express hesitation or lack of knowledge. Similarity measures of IF-sets and linguistic quantifiers are used in the decision-making process. |
2010 |
Dyczkowski, Krzysztof Application of IF-Sets to Modeling of Lip Shapes Similarities Book Chapter E., Hüllermeier; R., Kruse; F, Hoffmann (Ed.): 80 , pp. 611–617, Springer, Berlin, Heidelberg, 2010, ISBN: 978-3-642-14055-6. @inbook{Dyczkowski2010, title = {Application of IF-Sets to Modeling of Lip Shapes Similarities}, author = {Krzysztof Dyczkowski}, editor = { Hüllermeier E. and Kruse R. and Hoffmann F}, doi = {https://doi.org/10.1007/978-3-642-14055-6_64}, isbn = {978-3-642-14055-6}, year = {2010}, date = {2010-06-07}, volume = { 80}, pages = {611–617}, publisher = {Springer}, address = {Berlin, Heidelberg}, series = {Communications in Computer and Information Science}, abstract = {This paper is an attempt to apply a similarity/disimilarity measure based on Atanassov IF-Sets to the comparison of lip shapes. A method of encoding lip shapes is presented and a comparison of numerical representations of lips based on the applied measure type is suggested.}, keywords = {}, pubstate = {published}, tppubtype = {inbook} } This paper is an attempt to apply a similarity/disimilarity measure based on Atanassov IF-Sets to the comparison of lip shapes. A method of encoding lip shapes is presented and a comparison of numerical representations of lips based on the applied measure type is suggested. |
2009 |
Dyczkowski, Krzysztof; Kordek, Norbert; Nowakowski, Paweł; Stroński, Krzysztof Computing the hierarchy of the articulatory dimensions Conference 2009 International Multiconference on Computer Science and Information Technology, IEEE, Mragowo, Poland, 2009, ISBN: 978-1-4244-5314-6. @conference{Dyczkowski2009, title = {Computing the hierarchy of the articulatory dimensions}, author = {Krzysztof Dyczkowski and Norbert Kordek and Paweł Nowakowski and Krzysztof Stroński}, doi = {https://doi.org/10.1109/IMCSIT.2009.5352726}, isbn = {978-1-4244-5314-6}, year = {2009}, date = {2009-10-12}, booktitle = {2009 International Multiconference on Computer Science and Information Technology}, pages = {193-197}, publisher = {IEEE}, address = {Mragowo, Poland}, abstract = {The aim of this paper is to present the notion of a hierarchy of articulatory dimensions and its application in phonetic typology. To calculate the hierarchies a computer application was designed, and preliminary counts were carried out on the phonetic repertories of Chinese, Hindi and Polish. The theoretical foundation of the calculus is based on earlier research referring to the axiomatic theory of phonetic grammar.}, keywords = {}, pubstate = {published}, tppubtype = {conference} } The aim of this paper is to present the notion of a hierarchy of articulatory dimensions and its application in phonetic typology. To calculate the hierarchies a computer application was designed, and preliminary counts were carried out on the phonetic repertories of Chinese, Hindi and Polish. The theoretical foundation of the calculus is based on earlier research referring to the axiomatic theory of phonetic grammar. |
2008 |
Dyczkowski, Krzysztof; Kordek, Norbert; Nowakowski, Paweł; Stroński, Krzysztof An application supporting language analysis within the framework of the phonetic grammar Conference 2008 International Multiconference on Computer Science and Information Technology, IEEE, Wisia, Poland, 2008, ISBN: 978-83-60810-14-9. @conference{Dyczkowski2008, title = {An application supporting language analysis within the framework of the phonetic grammar}, author = {Krzysztof Dyczkowski and Norbert Kordek and Paweł Nowakowski and Krzysztof Stroński}, doi = {https://doi.org/10.1109/IMCSIT.2008.4747265}, isbn = {978-83-60810-14-9}, year = {2008}, date = {2008-10-20}, booktitle = {2008 International Multiconference on Computer Science and Information Technology}, pages = {359-362}, publisher = {IEEE}, address = {Wisia, Poland}, abstract = {The aim of the paper is to present an application supporting language analysis within the framework of the phonetic grammar. The notion of the phonetic grammar has been concisely introduced and the basic potential of the application and the algorithms employed in it are briefly discussed. The application is to enable a uniform description and a comparative analysis of many languages. At the first stage the languages taken into consideration are Polish, Chinese and Hindi.}, keywords = {}, pubstate = {published}, tppubtype = {conference} } The aim of the paper is to present an application supporting language analysis within the framework of the phonetic grammar. The notion of the phonetic grammar has been concisely introduced and the basic potential of the application and the algorithms employed in it are briefly discussed. The application is to enable a uniform description and a comparative analysis of many languages. At the first stage the languages taken into consideration are Polish, Chinese and Hindi. |
2007 |
Dyczkowski, Krzysztof A Less Cumulative Algorithm of Mining Linguistic Browsing Patterns in the World Wide Web Conference New Dimensions in Fuzzy Logic and Related Technologies. Proceedings of the 5th EUSFLAT Conference, EUSFLAT 2007. @conference{Dyczkowski2007, title = {A Less Cumulative Algorithm of Mining Linguistic Browsing Patterns in the World Wide Web}, author = {Krzysztof Dyczkowski}, year = {2007}, date = {2007-09-11}, booktitle = {New Dimensions in Fuzzy Logic and Related Technologies. Proceedings of the 5th EUSFLAT Conference}, pages = {129-135}, organization = {EUSFLAT}, abstract = {Finding sequential patterns is one of imp ortant issues in data mining. This paper deals with linguistic (fuzzy) sequential patterns. The existing algorithms for discovering such patterns do involve usual sigma counts of fuzzy sets as measure of supp ort. Unfortunately, a well-known side effect is then an undesirable cumulation of small membership values. We like to prop ose an improved approach based on generalized sigma counts, which in particular leads to a consequently lower cumulation, and considerably to better results. We test the mo dified algorithm using different generalized sigma counts based on different cardinality pattern functions}, keywords = {}, pubstate = {published}, tppubtype = {conference} } Finding sequential patterns is one of imp ortant issues in data mining. This paper deals with linguistic (fuzzy) sequential patterns. The existing algorithms for discovering such patterns do involve usual sigma counts of fuzzy sets as measure of supp ort. Unfortunately, a well-known side effect is then an undesirable cumulation of small membership values. We like to prop ose an improved approach based on generalized sigma counts, which in particular leads to a consequently lower cumulation, and considerably to better results. We test the mo dified algorithm using different generalized sigma counts based on different cardinality pattern functions |