Selection of Electrical Distribution System using SVAS based Einstein Averaging Operator
Bhagawati Prasad Joshi, Shweta Sachdeva, Sangeeta Pant, Shweta Goyal, Anuj Kumar, Pushpendra Singh Kharayat
Abstract
The contribution of this study is to present the Einstein Weighted Averaging Operator (EWAO) based on the Einstein Sum (ES) under the Single-Valued Ambiguous Set (SVAS) information, which is termed as “SVASEA”. The SVAS theory (SVAST) was offered to address ambiguity as the generalization of fuzzy set (FS). It is powerful than the FS and Intuitionistic FS due to four different degrees of memberships. Then, to apply the SVAS $_{\text {ea }}$ operator to real life problems, a framework is presented to include it in the information fusion of decision making (DM) process. Moreover, the selection of Electrical Distribution System (EDS) is carried out using the proposed operator and proposed framework to show its applicability. The obtained results and comparative analysis show the feasibility and validity of the SVAS $_{\text {EA }}$ operator.