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. Abstract | Links | BibTeX @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. Abstract | Links | BibTeX @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. |
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. Abstract | Links | BibTeX @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. |
2019
|
Szpurek, Dariusz; Szubert, Sebastian; Moszyński, Rafał; Dyczkowski, Krzysztof; Żywica, Patryk; Stachowiak, Anna; Wójtowicz, Andrzej; Romaniuk, Ryszard; Sajdak, Stefan; Wygralak, Maciej The analysis of the accuracy of selected ovarian tumor predictive models according to the degree of uncertainty in subjective assessment Miscellaneous 10th International Charité Mayo Conference 2019, April 3-6, 2019, Berlin, Germany, reviewed abstract, 2019. Links | BibTeX @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. Links | BibTeX @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}
}
|
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. Abstract | BibTeX @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 Intelligent Medical Decision Support System Based on Imperfect Information. The Case of Ovarian Tumor Diagnosis Book Springer, Cham, 2018, ISBN: 978-3-319-67004-1. Abstract | Links | BibTeX @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. Abstract | Links | BibTeX @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. Abstract | Links | BibTeX @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. |
2016
|
Diering, Magdalena; Dyczkowski, Krzysztof Assessing the raters agreement in the diagnostic catheter tube connector production process using novel fuzzy similarity coefficient Inproceedings 2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), pp. 228-232, 2016, ISSN: 2157-362X. Abstract | Links | BibTeX @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. |
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. BibTeX @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}
}
|
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. Abstract | Links | BibTeX @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. Abstract | Links | BibTeX @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. Abstract | Links | BibTeX @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. Abstract | Links | BibTeX @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. |
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. Links | BibTeX @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 OvaExpert system successfully differentiates ovarian tumors using imprecise and incomplete information – results of preliminary research Miscellaneous XXXII Congress of Polish Gynecology Society, September 3-5, 2015, Łodź, Poland, reviewed abstract, 2015. Links | BibTeX @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. Links | BibTeX @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}
}
|
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. Abstract | Links | BibTeX @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; 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. Abstract | Links | BibTeX @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. Abstract | Links | BibTeX @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. Abstract | Links | BibTeX @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. Abstract | Links | BibTeX @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. Links | BibTeX @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}
}
|
2014
|
Moszyński, Rafał; Szubert, Sebastian; Żywica, Patryk; Wójtowicz, Andrzej; Sajdak, Stefan; Stachowiak, Anna; Dyczkowski, Krzysztof; Wygralak, Maciej; Szpurek, Dariusz External validation of selected predictive models in differential diagnosis of adnexal masses difficult to classify as benign or malignant Miscellaneous 16th World Congress of Gynecological Endocrinology, March 5-8, 2014, Florence, Italy, reviewed abstract, 2014. Links | BibTeX @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}
}
|
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. Abstract | Links | BibTeX @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 Menopausal status strongly influences the utility of predictive models in differential diagnosis of ovarian tumors: An external validation of selected diagnostic tools Journal Article Ginekologia Polska, 85 (12), pp. 892-899, 2014, ISSN: 0017-0011. Abstract | Links | BibTeX @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. Abstract | Links | BibTeX @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. Abstract | Links | BibTeX @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. Abstract | Links | BibTeX @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. Abstract | Links | BibTeX @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. Abstract | Links | BibTeX @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. Abstract | BibTeX @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 |
2003
|
Dyczkowski, Krzysztof; Wygralak, Maciej On triangular norm-based generalized cardinals and singular fuzzy sets Journal Article Fuzzy Sets and Systems, 133 (2), pp. 211 - 226, 2003, ISSN: 0165-0114. Abstract | Links | BibTeX @article{DYCZKOWSKI2003211,
title = {On triangular norm-based generalized cardinals and singular fuzzy sets},
author = {Krzysztof Dyczkowski and Maciej Wygralak},
url = {http://www.sciencedirect.com/science/article/pii/S0165011402003329},
doi = {https://doi.org/10.1016/S0165-0114(02)00332-9},
issn = {0165-0114},
year = {2003},
date = {2003-01-01},
journal = {Fuzzy Sets and Systems},
volume = {133},
number = {2},
pages = {211 - 226},
abstract = {There are three basic types of triangular norm-based generalized cardinals of fuzzy sets, namely generalized FGCounts, FLCounts and FECounts. All of them are convex fuzzy sets of usual cardinal numbers. Our attention will be focused on generalized FECounts. If nonstrict Archimedean triangular norms are involved, generalized FECounts of many fuzzy sets become the zero function. Those singular fuzzy sets, being totally dissimilar to any set of any cardinality, and their properties are the subject of this paper. A relationship between singularity and fuzziness measures suited to fuzzy sets with complements induced by a strict negation will also be discussed.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
There are three basic types of triangular norm-based generalized cardinals of fuzzy sets, namely generalized FGCounts, FLCounts and FECounts. All of them are convex fuzzy sets of usual cardinal numbers. Our attention will be focused on generalized FECounts. If nonstrict Archimedean triangular norms are involved, generalized FECounts of many fuzzy sets become the zero function. Those singular fuzzy sets, being totally dissimilar to any set of any cardinality, and their properties are the subject of this paper. A relationship between singularity and fuzziness measures suited to fuzzy sets with complements induced by a strict negation will also be discussed. |
2001
|
Dyczkowski, Krzysztof; Wygralak, Maciej On Cardinality and Singular Fuzzy Sets Journal Article Lecture Notes in Computer Science, 2206 , pp. 261–268, 2001. Abstract | BibTeX @article{Dyczkowski2001,
title = {On Cardinality and Singular Fuzzy Sets},
author = {Krzysztof Dyczkowski and Maciej Wygralak},
year = {2001},
date = {2001-09-26},
booktitle = { Computational Intelligence. Theory and Applications},
journal = {Lecture Notes in Computer Science},
volume = {2206},
pages = {261–268},
abstract = {Fuzzy sets with triangular norms and their cardinalities understood as convex fuzzy sets pf usual cardinal numbers are subject of this paper. It appears that if nonstrict Archimedean triangular norms are involved, some fuzzy sets become totally dissimilar to any set of any cardinality. In other words, they become singular with respect to cardinality. We present a study of those singular fuzzy sets. In particular, we give their characterization and formulate their main properties.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Fuzzy sets with triangular norms and their cardinalities understood as convex fuzzy sets pf usual cardinal numbers are subject of this paper. It appears that if nonstrict Archimedean triangular norms are involved, some fuzzy sets become totally dissimilar to any set of any cardinality. In other words, they become singular with respect to cardinality. We present a study of those singular fuzzy sets. In particular, we give their characterization and formulate their main properties. |
