A method for local tuning of fuzzy membership functions

dc.contributor.authorÇinar, A
dc.date.accessioned2026-08-12T16:34:37Z
dc.date.issued2005
dc.departmentFırat Üniversitesi
dc.description5th International Conference on Computational Science (ICCS 2005) -- MAY 22-25, 2005 -- Atlanta, GA
dc.description.abstractIn this paper, a new method based on genetic algorithms is proposed for local tuning of fuzzy membership functions. For this purpose, the local adjustment is employed on the initial membership functions. Genetic algorithm is used to investigate discrete points that will be modified on the membership functions Hence, global adjustment does not require and the processing time required for tuning of membership functions is decreased.
dc.description.sponsorshipIntel Corp,IBM Corp,Microsoft Res,SGI Silicon Graph,Emory Univ, Dpet Math & Comp Sci,Emory Univ, Inst Comparat & Int Studies,Emory Univ, Emory Coll,Emory Univ, Off Provost,Emory Univ, Grad Sch Arts & Sci,Springer
dc.identifier.endpage949
dc.identifier.isbn3-540-26044-7
dc.identifier.issn0302-9743
dc.identifier.scopus2-s2.0-25144474542
dc.identifier.scopusqualityQ3
dc.identifier.startpage945
dc.identifier.urihttps://hdl.handle.net/11508/44538
dc.identifier.volume3516
dc.identifier.wosWOS:000230026200144
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer-Verlag Berlin
dc.relation.ispartofComputational Science - Iccs 2005, Pt 3
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260511
dc.titleA method for local tuning of fuzzy membership functions
dc.typeConference Object

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