Açık Akademik Arşiv Sistemi

An integrated fuzzy-grey based approach to group decision making problem for a wagon company

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dc.contributor.authors Celebi, N; Selvi, IH
dc.date.accessioned 2020-01-13T08:04:27Z
dc.date.available 2020-01-13T08:04:27Z
dc.date.issued 2014
dc.identifier.citation Celebi, N; Selvi, IH (2014). An integrated fuzzy-grey based approach to group decision making problem for a wagon company. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 26, 365-353
dc.identifier.issn 1064-1246
dc.identifier.uri https://hdl.handle.net/20.500.12619/2616
dc.identifier.uri https://doi.org/10.3233/IFS-120744
dc.description.abstract Supplier Evaluation and Selection (SES) is one of the most crucial issues for many companies because of its strategic importance. Over the years a number of approaches have been presented to SES problems. SES problems are multi-criteria decision making problem involving both quantitative and qualitative criteria. Decision makers' (DMs) preferences on alternative supplier or on the criteria are often uncertain. So SES problems become more difficult. In order to overcome this difficulty, a Fuzzy-Grey based approach is suggested in this paper. We combined the favorable sides of Grey System Theory's (GST) power of mathematical analysis and Fuzzy Set's (FS) power of pointing out uncertainty for the sake of processing the uncertainty information. As the empirical study, a practical application proceeded for a leading wagon company in Turkey. A real numerical example is used to clarify the suggested approach and comparison results are presented with conclusion.
dc.language English
dc.publisher IOS PRESS
dc.subject Supplier selection; fuzzy set; grey system theory
dc.title An integrated fuzzy-grey based approach to group decision making problem for a wagon company
dc.type Article
dc.identifier.volume 26
dc.identifier.startpage 353
dc.identifier.endpage 365
dc.contributor.department Sakarya Üniversitesi/Bilgisayar Ve Bilişim Bilimleri Fakültesi/Bilişim Sistemleri Mühendisliği Bölümü
dc.contributor.saüauthor Çelebi, Numan
dc.contributor.saüauthor Selvi, İhsan Hakan
dc.relation.journal JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
dc.identifier.wos WOS:000328936600035
dc.identifier.doi 10.3233/IFS-120744
dc.identifier.eissn 1875-8967
dc.contributor.author Çelebi, Numan
dc.contributor.author Selvi, İhsan Hakan


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