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A new classifier design with fuzzy functions

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dc.contributor.author Celikyılmaz, Aslı
dc.contributor.author Türkşen, I. Burhan
dc.contributor.author Aktaş, Ramazan
dc.contributor.author Doğanay, M. Mete
dc.contributor.author Ceylan, N. Başak
dc.date.accessioned 2020-04-10T09:33:57Z
dc.date.available 2020-04-10T09:33:57Z
dc.date.issued 2007
dc.identifier.citation Celikytlmaz, Ash; Türksen, I.Burhan; Aktaş, Ramazan;..et.al., "A new classifier design with fuzzy functions", Rough Sets, Fuzzy Sets, Data Mining And Granular Computing, Proceedings, Vol.4482, (2007). tr_TR
dc.identifier.isbn 978-3-540-72529-9
dc.identifier.issn 0302-9743
dc.identifier.uri http://hdl.handle.net/20.500.12416/3049
dc.description.abstract This paper presents a new fuzzy classifier design, which constructs one classifier for each fuzzy partition of a given system. The new approach, namely Fuzzy Classifier Functions (FCF), is an adaptation of our generic design on Fuzzy Functions to classification problems. This approach couples any fuzzy clustering algorithm with any classification method, in a unique way. The presented model derives fuzzy functions (rules) from data to classify patterns into number of classes. Fuzzy c-means clustering is used to capture hidden fuzzy patterns and a linear or a non-linear classifier function is used to build one classifier model for each pattern identified. The performance of each classifier is enhanced by using corresponding membership values of the data vectors as additional input variables. FCF is proposed as an alternate representation and reasoning schema to fuzzy rule base classifiers. The proposed method is evaluated by the comparison of experiments with the standard classifier methods using cross validation on test patterns. tr_TR
dc.language.iso eng tr_TR
dc.publisher Springer-Verlag Berlin tr_TR
dc.rights info:eu-repo/semantics/closedAccess tr_TR
dc.subject Fuzzy Classification tr_TR
dc.subject Fuzzy C-Means Clustering tr_TR
dc.subject SVM tr_TR
dc.title A new classifier design with fuzzy functions tr_TR
dc.type workingPaper tr_TR
dc.relation.journal Rough Sets, Fuzzy Sets, Data Mining And Granular Computing, Proceedings tr_TR
dc.contributor.authorID 112010 tr_TR
dc.identifier.volume 4482 tr_TR
dc.contributor.department Çankaya Üniversitesi, İktisadi ve İdari Bilimler Fakültesi, İşletme Bölümü tr_TR


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