A MULTI-CRITERIA GROUP DECISION-MAKING METHOD FOR OUTRANKING PROBLEMS UNDER SUSTAINABILITY, RISKS, AND INTUITIONISTIC FUZZY ENVIRONMENT

This paper presents a group decision-making mechanism to properly manage outranking problems in an intuitionistic fuzzy environment. TOPSIS, outranking multi-criteria decision-making insert ignore into journalissuearticles values(MCDM); method, is utilized under intuitionistic fuzzy set theory. A set of criteria employed in decision-making problems, the preferences of a group of decision-makers, and the importance levels of decision-makers are examined in this solution technique. Managers use the outranking methods as a reliable technique for making supplier evaluation decisions. Furthermore, the supply chain suffers from the shortage of materials, transportation problems etc. post COVID-19 era, the need for a practical, and exhaustive tool is explicit. An illustrative case on a supplier selection problem considering sustainability and risks in the post-COVID-19 era is used to demonstrate the applicability of the proposed technique by detailing the procedure step by step. The results show that the presented methodology is applicable to the other areas.