An efficient spherical fuzzy MEREC–CoCoSo approach based on novel score function and aggregation operators for group decision making

The major objective of the current investigation is to build an integrated multiple criteria group decision-making (MCGDM) methodology based on combined compromise solution (CoCoSo) and spherical fuzzy set for determining optimal solar power station. To begin with, innovative score function brought forward strengthen efficiency comparison number (SFN). Secondly, several newly operational laws SFN are defined some novel aggregation operation them propounded. corresponding excellent properties operators also explored at length. Further, method removal effects (MEREC) technique presented by proposed work out importance criteria. Lastly, MCGDM approach propounded improved CoCoSo obtain ranking station locations. feasibility practicability SF-MEREC–CoCoSo investigated through study with extant methods. sensibility analysis executed discuss robustness stability methodology.