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dc.contributor.authorJiang, Qianen_US
dc.contributor.authorJin, Xinen_US
dc.contributor.authorLee, Shin-Jyeen_US
dc.contributor.authorYao, Shaowenen_US
dc.date.accessioned2019-04-02T05:59:55Z-
dc.date.available2019-04-02T05:59:55Z-
dc.date.issued2019-02-01en_US
dc.identifier.issn0957-4174en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.eswa.2018.08.046en_US
dc.identifier.urihttp://hdl.handle.net/11536/148406-
dc.description.abstractIntuitionistic fuzzy set (IFS) is a representative model of fuzzy theory, and it is widely used to deal with fuzzy and uncertain problems in many practical applications. In IFS theory, the calculation of the distance and similarity between IFSs are significant techniques that are effective measurement methods for distinguishing the similarity degree between IFSs, and the two measures can be used in pattern recognition, decision-making and so on. In this paper, a novel similarity/distance measure between IFSs is proposed according to the intersections of the transformed isosceles triangles from IFSs, and the isosceles triangles are placed in a square area; furthermore, the properties of the proposed measure are also analyzed to prove whether the measure satisfies the definition of the similarity/distance measure for IFSs or not. The numerical experiments are implemented to test the validity of the proposed measure; in addition, several pattern recognition and clustering problems are also employed to further demonstrate its effectiveness. The experimental results show that the proposed measure is an accurate and superior measure that can avoid the shortcomings of most existing measures. Finally, the directions for future research of this work are also represented in the conclusion. (C) 2018 Elsevier Ltd. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectIntuitionistic fuzzy setsen_US
dc.subjectSimilarity measureen_US
dc.subjectDistance measureen_US
dc.subjectTransformed isosceles triangles of fuzzy setsen_US
dc.subjectDecision makingen_US
dc.subjectClustering analysisen_US
dc.titleA new similarity/distance measure between intuitionistic fuzzy sets based on the transformed isosceles triangles and its applications to pattern recognitionen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.eswa.2018.08.046en_US
dc.identifier.journalEXPERT SYSTEMS WITH APPLICATIONSen_US
dc.citation.volume116en_US
dc.citation.spage439en_US
dc.citation.epage453en_US
dc.contributor.department科技管理研究所zh_TW
dc.contributor.departmentInstitute of Management of Technologyen_US
dc.identifier.wosnumberWOS:000449240500033en_US
dc.citation.woscount0en_US
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