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dc.contributor.authorEminov, Mübariz
dc.date.accessioned2020-11-20T17:51:17Z
dc.date.available2020-11-20T17:51:17Z
dc.date.issued2003
dc.identifier.issn1300-686X
dc.identifier.urihttps://app.trdizin.gov.tr//makale/TXpFeU9ERXg
dc.identifier.urihttps://hdl.handle.net/20.500.12809/8719
dc.description.abstractThis paper describes the derivation of fuzzy classification rules based on c-means fuzzy clustering algorithm as results that are induced of fuzzy clusters. Each fuzzy cluster is associated with a fuzzy classification rule in which fuzzy sets are obtained by projecting the cluster to one-dimensional domains. In order to provide a unique assignment of data to a defined class it is suggested to use the fuzzy query processing executed on the base of induced linguistic fuzzy classification rules. This approach has been applied to fuzzy classification of population where fast and efficient assignment as well as the rank of a data in the same class is supplied.en_US
dc.item-language.isoengen_US
dc.item-rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectFuzzy query processingen_US
dc.titleRule- based fuzzy classification using query processingen_US
dc.item-typeotheren_US
dc.contributor.departmentMÜ, Teknik Eğitim Fakültesi, İstatistik ve Bilgisayar Eğitimi Bölümüen_US
dc.contributor.institutionauthorEminov, Mübariz
dc.identifier.volume8en_US
dc.identifier.issue1-3en_US
dc.identifier.startpage253en_US
dc.identifier.endpage262en_US
dc.relation.journalMathematical and Computational Applicationsen_US
dc.relation.publicationcategoryDiğeren_US


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