Multiple criteria choice modeling using the grounds of T-spherical fuzzy REGIME analysis

In an uncertain context of T-spherical fuzzy (T-SF) sets, the purpose of this study is to propound an efficacious multiple criteria choice model, named a T-SF REGIME method, predicated on a dominance analysis and a prioritization analysis. The REGIME methodology is a well-founded evaluation technique suitable for multiple criteria choice analysis owing to it has good applicability to the processing of qualitative information and to complex scenarios. Unlike the existing REGIME techniques, this paper takes advantage of a new Minkowski-type distance measure and an evolved Gaussian preference function to propound a ground-breaking T-SF REGIME model. This paper first concentrates on an evolution of the Minkowski-type distance measure and explores special cases with relevant properties for functional use. Next, this paper concerns an ascertainment of the evolved Gaussian preference function as a part of the proposed T-SF REGIME mechanism. This paper focuses on an advancement of the REGIME structure to T-SF uncertain contexts and unfolds an inventive T-SF REGIME methodology by virtue of superiority identifiers/indices, guide identifiers/indices, and joint generalized indices. The usefulness and strength points of the advanced methodology are scrutinized through a realistic application in the field of solar plant to prioritize the options of photovoltaic cells. The application results and comparisons corroborate the high efficiency and strengths of the evolved methodology.