Determination of fuzzy logic membership functions using genetic algorithms

Basit Öğe Kaydı
dc.contributor.authorArslan, A
dc.contributor.authorKaya, M
dc.date.accessioned2026-08-12T17:41:47Z
dc.date.issued2001
dc.departmentFırat Üniversitesi
dc.description.abstractGenetic algorithm (GA) is an adaptive search technique based on natural selection and genetic rules. GA takes place in various scientific applications and it can be also used to determine the membership functions in a fuzzy system. The aim of the study is to adjust the shape of membership functions and a novice aspect of the study is to determine the kind of membership functions. Proposed method has been implemented using a developed GA program for a single input and output fuzzy system. (C) 2001 Elsevier Science B.V. All rights reserved.
dc.identifier.doi10.1016/S0165-0114(99)00065-2
dc.identifier.endpage306
dc.identifier.issn0165-0114
dc.identifier.issue2
dc.identifier.orcid0000-0001-8033-2467
dc.identifier.orcid0000-0003-2995-8282
dc.identifier.scopus2-s2.0-0343462384
dc.identifier.scopusqualityQ1
dc.identifier.startpage297
dc.identifier.urihttps://doi.org/10.1016/S0165-0114(99)00065-2
dc.identifier.urihttps://hdl.handle.net/11508/59458
dc.identifier.volume118
dc.identifier.wosWOS:000166332400008
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier Science Bv
dc.relation.ispartofFuzzy Sets and Systems
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260511
dc.subjectgenetic algorithms
dc.subjectmembership functions
dc.subjectoptimization
dc.titleDetermination of fuzzy logic membership functions using genetic algorithms
dc.typeArticle

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu