Fuzzy radial basis function network for fuzzy regression with fuzzy input and fuzzy output

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dc.contributor.authorPehlivan, Nimet Yapici
dc.contributor.authorApaydin, Aysen
dc.date.accessioned2020-03-26T19:24:21Z
dc.date.available2020-03-26T19:24:21Z
dc.date.issued2016
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractIn this study, fuzzy regression ( FR) models with fuzzy inputs and outputs are discussed. Some of the FR methods based on linear programming and fuzzy least squares in the literature are explained. Within this study, we propose a Fuzzy Radial Basis Function ( FRBF) Network to obtain the estimations for FR model in the case that inputs and outputs are symmetric/nonsymmetric triangular fuzzy numbers. Proposed FRBF Network approach is a fuzzification of the inputs, outputs and weights of traditional RBF Network and it can be used as an alternative to FR methods. The FRBF Network approach is constructed on the basis of minimizing the square of the total difference between observed and estimated outputs. A simple training algorithm from the cost function of the FRBF Network through Backpropagation algorithm is developed in this study. The advantage of our proposed approach is its simplicity and easy computation as well as its performance. To compare the performance of the proposed method with those given in the literature, three numerical examples are presented.en_US
dc.identifier.doi10.1007/s40747-016-0013-9en_US
dc.identifier.endpage73en_US
dc.identifier.issn2199-4536en_US
dc.identifier.issn2198-6053en_US
dc.identifier.issue1en_US
dc.identifier.pmid#YOKen_US
dc.identifier.startpage61en_US
dc.identifier.urihttps://dx.doi.org/10.1007/s40747-016-0013-9
dc.identifier.urihttps://hdl.handle.net/20.500.12395/33635
dc.identifier.volume2en_US
dc.identifier.wosWOS:000379901100005en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherSPRINGER HEIDELBERGen_US
dc.relation.ispartofCOMPLEX & INTELLIGENT SYSTEMSen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectFuzzy setsen_US
dc.subjectFuzzy regressionen_US
dc.subjectFuzzy c-means clusteringen_US
dc.subjectFuzzy radial basis function networken_US
dc.titleFuzzy radial basis function network for fuzzy regression with fuzzy input and fuzzy outputen_US
dc.typeArticleen_US

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