A compensatory fuzzy approach to multi-objective linear supplier selection problem with multiple-item
EXPERT SYSTEMS WITH APPLICATIONS, cilt.38, sa.9, ss.11363-11368, 2011 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 38 Sayı: 9
- Basım Tarihi: 2011
- Doi Numarası: 10.1016/j.eswa.2011.03.004
- Dergi Adı: EXPERT SYSTEMS WITH APPLICATIONS
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Sayfa Sayıları: ss.11363-11368
- Anahtar Kelimeler: Compensatory operators, Fuzzy mathematical programming, Multi-criteria decision, Supplier selection, Supply chain, VENDOR SELECTION, DECISION-MAKING, TOPSIS
- Yıldız Teknik Üniversitesi Adresli: Evet
Özet
Supplier selection problem is a multi-criteria decision making problem which includes both qualitative and quantitative factors. In the selection process many criteria may conflict with each other, therefore decision-making process becomes complicated. In this paper, we propose a compensatory fuzzy approach to solve multi-objective linear supplier selection problem with multiple-item (MLSSP-MI) by using Werners' "fuzzy and" (mu(and)) operator. The compromise solutions obtained by using "fuzzy and" (mu(and)) operator a are both compensatory and strongly efficient for our MLSSP-Ml. To our knowledge, combining compensatory (mu(and)) operator with MLSSP-MI has not been published up to now. Our compensatory fuzzy approach was explained on a case study. (C) 2011 Elsevier Ltd. All rights reserved.