Publication:
The Modified Fuzzy Art and a Two-Stage Clustering Approach to Cell Design

dc.contributor.authorÖzdemir, Rifat Gürcan
dc.contributor.authorGençyılmaz, Güneş
dc.contributor.authorAktin, Ayşe Tülin
dc.contributor.authorIDTR141173tr_TR
dc.contributor.authorIDTR30141tr_TR
dc.contributor.authorIDTR109203tr_TR
dc.date.accessioned2016-04-20T08:05:39Z
dc.date.available2016-04-20T08:05:39Z
dc.date.issued2007-12-01
dc.description.abstractThis study presents a new pattern recognition neural network for clustering problems, and illustrates its use for machine cell design in group technology. The proposed algorithm involves modifications of the learning procedure and resonance test of the Fuzzy ART neural network. These modifications enable the neural network to process integer values rather than binary valued inputs or the values in the interval [0, 1], and improve the clustering performance of the neural network. A two-stage clustering approach is also developed in order to obtain an informative and intelligent decision for the problem of designing a machine cell. At the first stage, we identify the part families with very similar parts (i.e., high similarity exists in their processing requirements), and the resultant part families are input to the second stage, which forms the groups of machines. Experimental studies show that the proposed approach leads to better results in comparison with those produced by the Fuzzy ART and other similar neural network classifiers. (C) 2007 Elsevier Inc. All rights reserved.tr_TR
dc.identifier.scopus2-s2.0-34548749719
dc.identifier.scopus2-s2.0-34548749719en
dc.identifier.urihttp://hdl.handle.net/11413/1007
dc.identifier.wos250285400008
dc.identifier.wos250285400008en
dc.language.isoen_UStr_TR
dc.publisherELSEVIER SCIENCE INC, 360 PARK AVE SOUTH, NEW YORK, NY 10010-1710 USAtr_TR
dc.relationInformation Sciencestr_TR
dc.subjectIntelligent Manufacturingtr_TR
dc.subjectArtificial Neural Networktr_TR
dc.subjectGroup Tchnologytr_TR
dc.subjectClusteringtr_TR
dc.subjectMachine Cell Formationtr_TR
dc.subjectNeural-Network Approachtr_TR
dc.subjectSelf-Organizing Maptr_TR
dc.subjectGroup Technologytr_TR
dc.subjectMachinetr_TR
dc.subjectAlgorithmtr_TR
dc.subjectPerformancetr_TR
dc.subjectExtensiontr_TR
dc.subjectsystemtr_TR
dc.subjectAkıllı İmalattr_TR
dc.subjectYapay Sinir Ağlarıtr_TR
dc.subjectGrup Teknolojisitr_TR
dc.subjectKümelemetr_TR
dc.subjectMakine Hücre Oluşumutr_TR
dc.subjectSinir-Ağı Yaklaşımıtr_TR
dc.subjectKendi Kendini Düzenleyen Haritasıtr_TR
dc.subjectMakinetr_TR
dc.subjectAlgoritmatr_TR
dc.subjectPerformanstr_TR
dc.subjectUzatmatr_TR
dc.subjectSistemtr_TR
dc.titleThe Modified Fuzzy Art and a Two-Stage Clustering Approach to Cell Designtr_TR
dc.typeArticletr_TR
dspace.entity.typePublication
local.indexed.atSCOPUS
local.indexed.atWOS
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