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New Methods for Comparing Interval-Valued Fuzzy Cardinal Numbers
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 pr...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7274702/ http://dx.doi.org/10.1007/978-3-030-50143-3_41 |
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author | Pȩkala, Barbara Szkoła, Jarosław Dyczkowski, Krzysztof Piłka, Tomasz |
author_facet | Pȩkala, Barbara Szkoła, Jarosław Dyczkowski, Krzysztof Piłka, Tomasz |
author_sort | Pȩkala, Barbara |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7274702 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-72747022020-06-08 New Methods for Comparing Interval-Valued Fuzzy Cardinal Numbers Pȩkala, Barbara Szkoła, Jarosław Dyczkowski, Krzysztof Piłka, Tomasz Information Processing and Management of Uncertainty in Knowledge-Based Systems 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. 2020-05-15 /pmc/articles/PMC7274702/ http://dx.doi.org/10.1007/978-3-030-50143-3_41 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Pȩkala, Barbara Szkoła, Jarosław Dyczkowski, Krzysztof Piłka, Tomasz New Methods for Comparing Interval-Valued Fuzzy Cardinal Numbers |
title | New Methods for Comparing Interval-Valued Fuzzy Cardinal Numbers |
title_full | New Methods for Comparing Interval-Valued Fuzzy Cardinal Numbers |
title_fullStr | New Methods for Comparing Interval-Valued Fuzzy Cardinal Numbers |
title_full_unstemmed | New Methods for Comparing Interval-Valued Fuzzy Cardinal Numbers |
title_short | New Methods for Comparing Interval-Valued Fuzzy Cardinal Numbers |
title_sort | new methods for comparing interval-valued fuzzy cardinal numbers |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7274702/ http://dx.doi.org/10.1007/978-3-030-50143-3_41 |
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