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

Authors:
Beyza Ahlatcioglu Ozkok;Fatma Tiryaki
Affiliations:
Department of Mathematics, Faculty of Arts and Science, Yildiz Technical University, Davutpasa, Istanbul, Turkey;Department of Mathematics, Faculty of Arts and Science, Yildiz Technical University, Davutpasa, Istanbul, Turkey
Venue:
Expert Systems with Applications: An International Journal
Year:
2011

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Abstract

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'' (@m"a"n"d) operator. The compromise solutions obtained by using ''fuzzy and'' (@m"a"n"d) operator are both compensatory and strongly efficient for our MLSSP-MI. To our knowledge, combining compensatory (@m"a"n"d) operator with MLSSP-MI has not been published up to now. Our compensatory fuzzy approach was explained on a case study.