A hybrid approach combining fuzzy consensus-based possibility measure and TOPSIS: Application to the plant selection problem

Abstract

The current complexity of supply chains (SC) activities requires the need for coordination between supply chains partners to maximize the efficiency. This paper addresses the development of a new hybrid approach for the selection problem. The problem is formulated as a multi-expert multi-criteria (MEMC) decision making problem and solved by combining consensus-based possibility measure with TOPSIS method in a fuzzy environment. To demonstrate the applicability of the proposed approach, a simple example of plant selection problem is presented and the numerical results analyzed.