A compensatory fuzzy approach to multi-objective linear supplier selection problem with multiple-item

Ozkok B., TİRYAKİ F.

EXPERT SYSTEMS WITH APPLICATIONS, cilt.38, sa.9, ss.11363-11368, 2011 (SCI-Expanded) identifier identifier

  • 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.