An interval-valued pythagorean fuzzy AHP and COPRAS hybrid methods for the supplier selection problem

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dc.authorid0000-0001-6483-4547
dc.authorid0000-0002-0068-0048
dc.contributor.authorErdebilli, Babek
dc.contributor.authorYılmaz, İbrahim
dc.contributor.authorAksoy, Tamer
dc.contributor.authorHacıoğlu, Ümit
dc.contributor.authorYüksel, Serhat
dc.contributor.authorDinçer, Hasan
dc.contributor.authorHacıoğlu, Ümit
dc.contributor.authorAksoy, Tamer
dc.contributor.otherYönetim Bilimleri Fakültesi, İşletme Bölümü
dc.date.accessioned2023-08-14T14:50:12Z
dc.date.available2023-08-14T14:50:12Z
dc.date.issued2023
dc.departmentİHÜ, Yönetim Bilimleri Fakültesi, İşletme Bölümü
dc.description.abstractCompanies must be able to identify their suppliers appropriately and effectively in order to survive in the competitive market conditions. In order to fulfill and surpass the expectations of the consumers and clients, companies need to interact with the relevant suppliers. It is a tough manner for companies to select the best supplier from a large number of relevant alternatives. The selection process of the appropriate supplier involves multiple interacting and competing factors. Generally, the selection process and its results cause a waste of time and money. For this purpose, MCDM methodologies are utilized to manage this complex process efficiently. MCDMs allows for consistent and accurate decision-making as well as the selection of the most appropriate supplier. MCDM is one the most preferred tool to select the best alternative under the conflicting and competitive criteria when the evaluations are made in crisp numbers. Therefore, MCDM methods are preferred in various applications in academia and real life. However, the evaluations could not be always possible with crisp numbers, especially in vague environments or evaluations needs qualitative data…
dc.identifier.citationErdebilli, B., Yılmaz, İ., Aksoy, T., Hacıoğlu, Ü., Yüksel, S. ve Dinçer, H. (2023). An interval-valued pythagorean fuzzy AHP and COPRAS hybrid methods for the supplier selection problem. International Journal of Computational Intelligence Systems, 16(1), 1-17. https://doi.org/10.1007/s44196-023-00297-4
dc.identifier.doi10.1007/s44196-023-00297-4
dc.identifier.endpage17
dc.identifier.issn1875-6891
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85166737643
dc.identifier.scopusqualityQ1
dc.identifier.startpage1
dc.identifier.urihttps://doi.org/10.1007/s44196-023-00297-4
dc.identifier.urihttps://hdl.handle.net/20.500.12154/2305
dc.identifier.volume16
dc.identifier.wosWOS:001040380400001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakScopus
dc.indekslendigikaynakWeb of Science
dc.institutionauthorAksoy, Tamer
dc.institutionauthorHacıoğlu, Ümit
dc.institutionauthorDinçer, Hasan
dc.institutionauthorid0000-0001-6483-4547
dc.institutionauthorid0000-0002-0068-0048
dc.language.isoen
dc.publisherSpringer Science and Business Media B.V.
dc.relation.ispartofInternational Journal of Computational Intelligence Systems
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectMulti-Criteria Decision-Making (MCDM)
dc.subjectAnalytic Hierarchy Process (AHP)
dc.subjectComplex Proportional Assessment (COPRAS)
dc.subjectSupplier Selection
dc.subjectSupply Chain Management (SCM)
dc.titleAn interval-valued pythagorean fuzzy AHP and COPRAS hybrid methods for the supplier selection problem
dc.typeArticle
dspace.entity.typePublication
relation.isAuthorOfPublicationd5642aa4-347e-4bbe-bcd5-6b4b19a4c49f
relation.isAuthorOfPublicationbbc73b61-a694-4832-936e-e3747e3f0cf6
relation.isAuthorOfPublication.latestForDiscoveryd5642aa4-347e-4bbe-bcd5-6b4b19a4c49f
relation.isOrgUnitOfPublicationc9253b76-6094-4836-ac99-2fcd5392d68f
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