A Fuzzy-Based Possibility Measure Approach for Multi-expert Multi-criteria Selection Problem

Nowadays, supply chain coordination (SCC) is considered by researchers and practitioners as one of the active research topics in production and operations management (POM). This paper addresses the development of a fuzzy-based possibility measure with goal programming approach dedicated to selection problem. More specifically, the selection problem is formulated as a multi-expert multi-criteria (MEMC) decision making problem and solved by combing consensus-based possibility measure with goal programming in a fuzzy environment. To illustrate the applicability of the proposed approach, a simple example is presented and the numerical results analyzed.