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dc.contributor.authorŞentürk, Sevil
dc.contributor.authorAntucheviciene, Jurgita
dc.date.accessioned2019-10-20T09:31:24Z
dc.date.available2019-10-20T09:31:24Z
dc.date.issued2017
dc.identifier.issn0868-4952
dc.identifier.issn1822-8844
dc.identifier.urihttps://dx.doi.org/10.15388/Informatica.2017.129
dc.identifier.urihttps://hdl.handle.net/11421/17686
dc.descriptionWOS: 000405641900003en_US
dc.description.abstractMany papers exist on ordinary fuzzy control charts in literature in order to consider the vagueness and uncertainty in observation data. These are on both variable and attribute control charts. Several extensions of fuzzy sets have appeared in literature since ordinary fuzzy sets emerged. Type-2 fuzzy sets are one of these extensions. Type-2 fuzzy sets take into account the imprecision of membership functions in three dimensions. The aim of this paper is to develop interval type-2 fuzzy control charts for number of nonconformities, briefly c-control charts. In this paper, the theoretical structure of interval type-2 fuzzy c-control charts is proposed for the first time and the application is implemented in a food company.en_US
dc.language.isoengen_US
dc.publisherInst Mathematics & Informaticsen_US
dc.relation.isversionof10.15388/Informatica.2017.129en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFuzzy Control Chartsen_US
dc.subjectInterval Type-2 Fuzzy Setsen_US
dc.subjectC-Control Chartsen_US
dc.subjectNonconformityen_US
dc.subjectProcess Controlen_US
dc.titleInterval Type-2 Fuzzy c-Control Charts: An Application in a Food Companyen_US
dc.typearticleen_US
dc.relation.journalInformaticaen_US
dc.contributor.departmentAnadolu Üniversitesi, Fen Fakültesi, İstatistik Bölümüen_US
dc.identifier.volume28en_US
dc.identifier.issue2en_US
dc.identifier.startpage269en_US
dc.identifier.endpage283en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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