Fsmpy: A Fuzzy Set Measures Python Library
This paper presents the fsmpy Python library for the implementation of any type of measures and comparisons of different types of fuzzy sets, as well as other important and useful utilities and algorithms. In this paper, we analyze the motivation behind its implementation, the design principles foll...
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| Main Authors: | , , , |
| Format: | Article |
| Language: | English |
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MDPI AG
2022-01-01
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| Online Access: | https://www.mdpi.com/2078-2489/13/2/64 |
| _version_ | 1850084203808423936 |
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| author | George K. Sidiropoulos Kyriakos D. Apostolidis Nikolaos Damianos George A. Papakostas |
| author_facet | George K. Sidiropoulos Kyriakos D. Apostolidis Nikolaos Damianos George A. Papakostas |
| author_sort | George K. Sidiropoulos |
| collection | DOAJ |
| container_title | Information |
| description | This paper presents the fsmpy Python library for the implementation of any type of measures and comparisons of different types of fuzzy sets, as well as other important and useful utilities and algorithms. In this paper, we analyze the motivation behind its implementation, the design principles followed, the implemented modules of the library and its capabilities, considering intuitionistic fuzzy sets as the case study. Lastly, some examples of its application to widely used pattern recognition, medical diagnosis and image segmentation are presented. |
| format | Article |
| id | doaj-art-e1f6504e0bc34cbfa8fdef190b8f2839 |
| institution | Directory of Open Access Journals |
| issn | 2078-2489 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| spelling | doaj-art-e1f6504e0bc34cbfa8fdef190b8f28392025-08-20T00:11:30ZengMDPI AGInformation2078-24892022-01-011326410.3390/info13020064Fsmpy: A Fuzzy Set Measures Python LibraryGeorge K. Sidiropoulos0Kyriakos D. Apostolidis1Nikolaos Damianos2George A. Papakostas3MLV Research Group, Department of Computer Science, International Hellenic University, 65404 Kavala, GreeceMLV Research Group, Department of Computer Science, International Hellenic University, 65404 Kavala, GreeceMLV Research Group, Department of Computer Science, International Hellenic University, 65404 Kavala, GreeceMLV Research Group, Department of Computer Science, International Hellenic University, 65404 Kavala, GreeceThis paper presents the fsmpy Python library for the implementation of any type of measures and comparisons of different types of fuzzy sets, as well as other important and useful utilities and algorithms. In this paper, we analyze the motivation behind its implementation, the design principles followed, the implemented modules of the library and its capabilities, considering intuitionistic fuzzy sets as the case study. Lastly, some examples of its application to widely used pattern recognition, medical diagnosis and image segmentation are presented.https://www.mdpi.com/2078-2489/13/2/64fuzzy measuresfuzzy systemsPythonsoftware librarysupervised learningimage processing |
| spellingShingle | George K. Sidiropoulos Kyriakos D. Apostolidis Nikolaos Damianos George A. Papakostas Fsmpy: A Fuzzy Set Measures Python Library fuzzy measures fuzzy systems Python software library supervised learning image processing |
| title | Fsmpy: A Fuzzy Set Measures Python Library |
| title_full | Fsmpy: A Fuzzy Set Measures Python Library |
| title_fullStr | Fsmpy: A Fuzzy Set Measures Python Library |
| title_full_unstemmed | Fsmpy: A Fuzzy Set Measures Python Library |
| title_short | Fsmpy: A Fuzzy Set Measures Python Library |
| title_sort | fsmpy a fuzzy set measures python library |
| topic | fuzzy measures fuzzy systems Python software library supervised learning image processing |
| url | https://www.mdpi.com/2078-2489/13/2/64 |
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