An Integrated EDAS Model for Fermatean Fuzzy Multi-Attribute Group Decision Making and Its Application in Green-Supplier Selection

The environment and economy benefit from the sustained growth of a high-quality green supplier. During supplier evaluation selection process, DMs tend to use fuzzy tools express information due complex practical problems. Therefore, this study explores green-supplier method in Fermatean (FF) environment. First, group indicators was created evaluate capabilities social impact suppliers. Second, by combining merits Heronian mean power average approaches, FF its weighted framework were developed, their related properties special families then presented. Third, acquire relative importance indicators, marvelous unification best–worst (BWM) entropy is introduced. challenge choosing finally solved using an integrated based on distance solution (EDAS) Finally, presented tool’s viability robustness confirmed actual case analysis.