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A New Clustering Method With Fuzzy Approach Based On Takagi-Sugeno Model in Queuing Systems

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dc.contributor.author Zanjanbar, Farzaneh G.
dc.contributor.author Şentarli, İnci
dc.date.accessioned 2020-04-30T18:58:08Z
dc.date.available 2020-04-30T18:58:08Z
dc.date.issued 2013
dc.identifier.citation Şentarli, I.; Zanjanbar, F.G.,"A New Clustering Method With Fuzzy Approach Based On Takagi-Sugeno Model in Queuing Systems", International Journal of Fuzzy System Applications, Vol. 3, no. 2, (2013). tr_TR
dc.identifier.issn 2156177X
dc.identifier.uri http://hdl.handle.net/20.500.12416/3563
dc.description.abstract In this paper, the authors propose a new hard clustering method to provide objective knowledge on field of fuzzy queuing system. In this method, locally linear controllers are extracted and translated into the first-order Takagi-Sugeno rule base fuzzy model. In this extraction process, the region of fuzzy subspaces of available inputs corresponding to different implications is used to obtain the clusters of outputs of the queuing system. Then, the multiple regression functions associated with these separate clusters are used to interpret the performance of queuing systems. An application of the method also is presented and the performance of the queuing system is discussed. tr_TR
dc.language.iso eng tr_TR
dc.publisher IGI Global tr_TR
dc.relation.isversionof 10.4018/ijfsa.2013040103 tr_TR
dc.rights info:eu-repo/semantics/closedAccess tr_TR
dc.subject Clustering tr_TR
dc.subject Fuzzy Systems tr_TR
dc.subject Linear Controller tr_TR
dc.subject Performance tr_TR
dc.subject Queuing System tr_TR
dc.title A New Clustering Method With Fuzzy Approach Based On Takagi-Sugeno Model in Queuing Systems tr_TR
dc.type article tr_TR
dc.relation.journal International Journal of Fuzzy System Applications tr_TR
dc.identifier.volume 3 tr_TR
dc.identifier.issue 2 tr_TR
dc.contributor.department Çankaya Üniversitesi, İktisadi İdari Bilimler Fakültesi, İşletme Bölümü tr_TR


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