Nonlinear strict distance and similarity measures for intuitionistic fuzzy sets with applications to...
Nonlinear strict distance and similarity measures for intuitionistic fuzzy sets with applications to pattern classification and medical diagnosis
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London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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In this paper, we propose a new type of nonlinear strict distance and similarity measures for intuitionistic fuzzy sets (IFSs). Our proposed methods not only have good properties, but also improve the drawbacks proposed by Mahanta and Panda (Int J Intell Syst 36(2):615–627, 2021) in which, for example, their distance value of
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Nonlinear strict distance and similarity measures for intuitionistic fuzzy sets with applications to pattern classification and medical diagnosis
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TN_cdi_doaj_primary_oai_doaj_org_article_6170628653fe420cbb04e8568db8882b
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6170628653fe420cbb04e8568db8882b
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-023-40817-y
