Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/5751
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dc.contributor.authorÇelikyılmaz, Aslı-
dc.contributor.authorTürkşen, İsmail Burhan-
dc.date.accessioned2021-09-11T15:19:53Z-
dc.date.available2021-09-11T15:19:53Z-
dc.date.issued2009en_US
dc.identifier.isbn9783540899235-
dc.identifier.issn1434-9922-
dc.identifier.urihttps://doi.org/10.1007/978-3-540-89924-2_4-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/5751-
dc.description.abstractThis chapter presents mathematical theory of the new "Fuzzy Functions" and "Improved Fuzzy Functions" approaches to build fuzzy system models for regression and classification problems using type-1 fuzzy sets. Additionally, Evolutionary Type-1 Fuzzy Functions and "Improved Fuzzy Functions" approach are presented. © 2009 Springer-Verlag Berlin Heidelberg.en_US
dc.language.isoenen_US
dc.relation.ispartofStudies in Fuzziness and Soft Computingen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleFuzzy Functions Approachen_US
dc.typeArticleen_US
dc.departmentFaculties, Faculty of Engineering, Department of Industrial Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümütr_TR
dc.identifier.volume240en_US
dc.identifier.startpage105en_US
dc.identifier.endpage147en_US
dc.identifier.scopus2-s2.0-64349101296en_US
dc.institutionauthorTürkşen, İsmail Burhan-
dc.identifier.doi10.1007/978-3-540-89924-2_4-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ3-
item.openairetypeArticle-
item.languageiso639-1en-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
Appears in Collections:Endüstri Mühendisliği Bölümü / Department of Industrial Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
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