A single-objective genetic-fuzzy approach for multi-objective fuzzy problems

dc.contributor.authorKaya, Ersin
dc.contributor.authorKocer, Baris
dc.contributor.authorArslan, Ahmet
dc.date.accessioned2020-03-26T18:41:03Z
dc.date.available2020-03-26T18:41:03Z
dc.date.issued2013
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractIn this paper, a genetic algorithm-based search method, which builds ideal rule set for fuzzy rule-based classification systems (FRBCSs), is developed. In FRBCSs, ideal rule set means a set of rules which ensure high classification accuracy with small rule count and small rule length. The related studies in the literature point out that rule set grows exponentially with input attribute count. This growth complicates the searching process and lowers the success rate. Through the proposed method, successive results are obtained for datasets with large input attribute counts using a special coding technique. The proposed method is tested for various datasets and results are compared against the method which uses candidate rule set.en_US
dc.identifier.doi10.3233/IFS-120661en_US
dc.identifier.endpage566en_US
dc.identifier.issn1064-1246en_US
dc.identifier.issn1875-8967en_US
dc.identifier.issue3en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage557en_US
dc.identifier.urihttps://dx.doi.org/10.3233/IFS-120661
dc.identifier.urihttps://hdl.handle.net/20.500.12395/29189
dc.identifier.volume25en_US
dc.identifier.wosWOS:000321326100005en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIOS PRESSen_US
dc.relation.ispartofJOURNAL OF INTELLIGENT & FUZZY SYSTEMSen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectFuzzy rule-based classificationen_US
dc.subjectgenetic algorithmen_US
dc.subjectgenerating fuzzy rulesen_US
dc.titleA single-objective genetic-fuzzy approach for multi-objective fuzzy problemsen_US
dc.typeArticleen_US

Dosyalar