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Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/55582
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dc.contributor.authorSanghyuk Leeen_US
dc.contributor.authorKa Lok Manen_US
dc.contributor.authorEng Gee Limen_US
dc.contributor.authorMark Leachen_US
dc.date.accessioned2018-09-05T02:58:10Z-
dc.date.available2018-09-05T02:58:10Z-
dc.date.issued2016-01-01en_US
dc.identifier.issn20780958en_US
dc.identifier.other2-s2.0-84978737099en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84978737099&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/55582-
dc.description.abstractStudy of fuzzy entropy on intuitionistic fuzzy sets (IFSs) were proposed, and analyzed. Built in uncertainty in IFSs, it is named as hesitance. It is contained in fuzzy membership function in itself by definition. Hence, designing fuzzy entropy is not easy because there is no general entropy definition about IFSs. By considering existing fuzzy entropy definitions, fuzzy entropy on IFSs is designed and proved its usefulness. Similarity measure was also extended with the information of entropy, and the similarity measure is verified its usefulness by the proof.en_US
dc.subjectComputer Scienceen_US
dc.titleData analysis with fuzzy measure on intuitionistic fuzzy setsen_US
dc.typeConference Proceedingen_US
article.title.sourcetitleLecture Notes in Engineering and Computer Scienceen_US
article.volume2en_US
article.stream.affiliationsXi'an Jiaotong-Liverpool Universityen_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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