Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/7051
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dc.contributor.authorÖzkan, İbrahim-
dc.contributor.authorTürkşen, İsmail Burhan-
dc.date.accessioned2021-09-11T15:45:11Z-
dc.date.available2021-09-11T15:45:11Z-
dc.date.issued2012en_US
dc.identifier.issn0020-0255-
dc.identifier.issn1872-6291-
dc.identifier.urihttps://doi.org/10.1016/j.ins.2011.07.036-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/7051-
dc.description.abstractIn this paper, we concentrate on the usage of uncertainty associated with the level of fuzziness in determination of the number of clusters in FCM for any data set. We propose a MiniMax epsilon-stable cluster validity index based on the uncertainty associated with the level of fuzziness within the framework of interval valued Type 2 fuzziness. If the data have a clustered structure, the optimum number of clusters may be assumed to have minimum uncertainty under upper and lower levels of fuzziness. Upper and lower values of the level of fuzziness for Fuzzy C-Mean (FCM) clustering methodology have been found as m = 2.6 and 1.4, respectively, in our previous studies. Our investigation shows that the stability of cluster centers with respect to the level of fuzziness is sufficient for the determination of the number of clusters. (C) 2011 Elsevier Inc. All rights reserved.en_US
dc.description.sponsorshipNatural Science and Engineering Research Council (NSERC)Natural Sciences and Engineering Research Council of Canada (NSERC) [RPGIN 7698-05]; Hacettepe UniversityHacettepe University; TOBB Economics and Technology UniversityTOBB Ekonomi ve Teknoloji Universityen_US
dc.description.sponsorshipThis work was partially supported by Natural Science and Engineering Research Council (NSERC) Grant (RPGIN 7698-05) to University of Toronto. As well, partial support is provided by Hacettepe University and TOBB Economics and Technology University. Their support is greatly appreciated.en_US
dc.language.isoenen_US
dc.publisherElsevier Science Incen_US
dc.relation.ispartofInformation Sciencesen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectUncertaintyen_US
dc.subjectEntropyen_US
dc.subjectOptimum number of clustersen_US
dc.subjectType-2 fuzzinessen_US
dc.titleMinimax Epsilon-Stable Cluster Validity Index for Type-2 Fuzzinessen_US
dc.typeArticleen_US
dc.departmentFaculties, Faculty of Engineering, Department of Industrial Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümütr_TR
dc.identifier.volume184en_US
dc.identifier.issue1en_US
dc.identifier.startpage64en_US
dc.identifier.endpage74en_US
dc.authorid0000-0002-1092-8123-
dc.identifier.wosWOS:000297403400004en_US
dc.identifier.scopus2-s2.0-80055031429en_US
dc.institutionauthorTürkşen, İsmail Burhan-
dc.identifier.doi10.1016/j.ins.2011.07.036-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ1-
item.openairetypeArticle-
item.languageiso639-1en-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
Appears in Collections:Endüstri Mühendisliği Bölümü / Department of Industrial Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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