Green Supply Chain Decision Making Using Interval-Valued Picture Fuzzy Geometric Aggregation Methods

Abstract

Green supply chain management (GSCM) involves inclusion of sustainable environmental processes into the conventional supply chain.  The demand in designing new practices and formulation of policies also interrogates new procedures for evaluation of efficiency of sustainable supply chains. This study presents a new multi-attribute decision-making (MADM) process that is selection of appropriate green supplier which is based on interval-valued picture fuzzy sets (IVPFS) to deal adequately with imprecise, hesitant, and contradictory evaluations made by experts. We propose three novel aggregation operators based on the Yager t-norm and t-conorm in the context of interval-valued picture fuzzy which are: Interval Valued Picture Fuzzy Yager Weighted Geometric Aggregation (IVPFYWGA), Interval Valued Picture Fuzzy Yager Ordered Weighted Geometric Aggregation (IVPFYOWGA) and are Interval Valued Picture Fuzzy Yager Hybrid Weighted Geometric Aggregation (IVPFYHWGA).