Negative Hesitation Fuzzy Sets and Their Application to Pattern Recognition

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dc.authoridYang, Youpeng/0000-0003-2248-8679
dc.authoridZhang, Hao Lan/0000-0002-5033-1866
dc.authorwosidZhang, Hao Lan/B-8824-2008
dc.contributor.authorYang, Youpeng
dc.contributor.authorLee, Sanghyuk
dc.contributor.authorZhang, Haolan
dc.contributor.authorHuang, Xiaowei
dc.contributor.authorPedrycz, Witold
dc.date.accessioned2024-05-19T14:41:46Z
dc.date.available2024-05-19T14:41:46Z
dc.date.issued2024
dc.departmentİstinye Üniversitesien_US
dc.description.abstractThe initial concept of negative hesitation fuzzy sets (NHFSs) has been introduced recently. NHFSs are applied to decision-making problems accompanied by soft set theory. In this article, a detailed clarification of NHFSs is proposed. Meanwhile, we introduced the way to construct membership, nonmembership, and negative hesitation degrees by studying the overlap area between the projections of the element and classes in a 2-D space. This unified construction has concluded the relationship between NHFSs and intuitionistic fuzzy sets. A corollary of cosine similarity satisfying the NHFSs is employed for the pattern recognition problems. Classification of both synthetic numerical examples and the EEG signals are evaluated for the effectiveness of NHFSs in this article.en_US
dc.description.sponsorshipNegative Hesitation Fuzzy Soft Sets and its Application on Decision Making Problemen_US
dc.description.sponsorshipNo Statement Availableen_US
dc.identifier.doi10.1109/TFUZZ.2023.3336673
dc.identifier.endpage1847en_US
dc.identifier.issn1063-6706
dc.identifier.issn1941-0034
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-85179057573en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage1836en_US
dc.identifier.urihttps://doi.org10.1109/TFUZZ.2023.3336673
dc.identifier.urihttps://hdl.handle.net/20.500.12713/5156
dc.identifier.volume32en_US
dc.identifier.wosWOS:001196731700066en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIeee-Inst Electrical Electronics Engineers Incen_US
dc.relation.ispartofIeee Transactions on Fuzzy Systemsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240519_kaen_US
dc.subjectFuzzy Setsen_US
dc.subjectElectroencephalographyen_US
dc.subjectPattern Recognitionen_US
dc.subjectTime-Domain Analysisen_US
dc.subjectTime Series Analysisen_US
dc.subjectPattern Classificationen_US
dc.subjectUpper Bounden_US
dc.subjectFuzzy Sets (Fss)en_US
dc.subjectInformation Granuleen_US
dc.subjectNegative Hesitationen_US
dc.subjectSimilarity Measuresen_US
dc.subjectPattern Recognitionen_US
dc.titleNegative Hesitation Fuzzy Sets and Their Application to Pattern Recognitionen_US
dc.typeArticleen_US

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