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An ERP software selection process with using artificial neural network based on analytic network process approach

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dc.contributor.authors Yazgan, HR; Boran, S; Goztepe, K;
dc.date.accessioned 2020-02-25T11:41:16Z
dc.date.available 2020-02-25T11:41:16Z
dc.date.issued 2009
dc.identifier.citation Yazgan, HR; Boran, S; Goztepe, K; (2009). An ERP software selection process with using artificial neural network based on analytic network process approach. EXPERT SYSTEMS WITH APPLICATIONS, 36, 9222-9214
dc.identifier.issn 0957-4174
dc.identifier.uri https://doi.org/10.1016/j.eswa.2008.12.022
dc.identifier.uri https://hdl.handle.net/20.500.12619/48260
dc.description.abstract An ANN model has been designed and trained with using ANP results in order to calculate ERP software priority. The artificial neural network (ANN) model is trained by results obtained from ANP. It seems that there is no any major difficulty in order to predict software priorities with trained ANN model. By this results ANN model has been come suitable for using in the selection of ERP for another new decision. (C) 2008 Elsevier Ltd. All rights reserved.
dc.language English
dc.publisher PERGAMON-ELSEVIER SCIENCE LTD
dc.subject Operations Research & Management Science
dc.title An ERP software selection process with using artificial neural network based on analytic network process approach
dc.type Article
dc.identifier.volume 36
dc.identifier.startpage 9214
dc.identifier.endpage 9222
dc.contributor.department Sakarya Üniversitesi/Mühendislik Fakültesi/Endüstri Mühendisliği Bölümü
dc.contributor.saüauthor Yazğan, Harun Reşit
dc.contributor.saüauthor Boran, Semra
dc.relation.journal EXPERT SYSTEMS WITH APPLICATIONS
dc.identifier.wos WOS:000264782800054
dc.identifier.doi 10.1016/j.eswa.2008.12.022
dc.identifier.eissn 1873-6793
dc.contributor.author Yazğan, Harun Reşit
dc.contributor.author Boran, Semra


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