Interval Valued T-Spherical Fuzzy Soft Average Aggregation Operators and Their Applications in Multiple-Criteria Decision Making

This paper deals with uncertainty, asymmetric information, and risk modelling in a complex power system. The uncertainty is managed by using probability decision theory methods. Multiple-criteria making (MCDM) very effective well-known tool to investigate fuzzy information more effectively. However, the selection of houses cannot be done utilizing symmetry because enterprises do not have complete so should used when selecting enterprises. In this paper, notion soft set (SftS) interval-valued T-spherical (IVT-SFS) are combined produce new called (IVT?SFSftS). It general concept provides space options makers (DMs) for their field theory. Moreover, some average aggregation operators like weighted (IVT?SFSftWA) operator, ordered (IVT?SFSftOWA) hybrid (IVT?SFSftHA) explored. Furthermore, properties these discussed detail. An algorithm developed an application example proposed show validity present work. manuscript shows how make there about enterprise. Further, comparative analysis, established work compared another existing method advantages