An interval-valued pythagorean fuzzy AHP and COPRAS hybrid methods for the supplier selection problem
Yükleniyor...
Dosyalar
Tarih
2023
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer Science and Business Media B.V.
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Companies 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…
Açıklama
Anahtar Kelimeler
Multi-Criteria Decision-Making (MCDM), Analytic Hierarchy Process (AHP), Complex Proportional Assessment (COPRAS), Supplier Selection, Supply Chain Management (SCM)
Kaynak
International Journal of Computational Intelligence Systems
WoS Q Değeri
Q3
Scopus Q Değeri
Q1
Cilt
16
Sayı
1
Künye
Erdebilli, 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