Pythagorean Fuzzy MCDM Method in Renewable Energy Resources Assessment

Abstract

In the current paper a novel entropy measure is proposed on PFSs. Subsequently, presented an integrated PF-SWARA-MARCOS technique for ranking the selection best alternative in MCDM problems. the objective weights are evaluated by combined entropy and score function, and subjective criteria weights are evaluated using to SWARA approach and MARCOS technique is used to rank the alternatives on PFS. At the present, the choice of suitable renewable energy resources is an enormously important challenge that has an impact on both environmental and commercial growth. To deal with the concern, several authors have concentrated on selecting a necessary energy resource by adopting a decision-making method based on numerous Pythagorean fuzzy set (PFS) methodologies. Here, in this article a methodology is the presented to identify the best RERs. A comparative discussion and analysis are presented to performance the reasonableness and consistency of the technique established to rank optimal renewable energy alternatives.