Статья

Selection of Electrical Distribution System using SVAS based Einstein Averaging Operator

Bhagawati Prasad JoshiGraphic Era Hill University,Department of Mathematics; Department of Computer Science & Enggineering,Bhimtal,India,263136Shweta SachdevaSangeeta PantSymbiosis Institute of Technology Symbiosis International (Deemed University) (SIU) Lavale,Department of Applied Sciences,Pune,Maharashtra,412115Shweta GoyalGraphic Era Deemed to be University,Department of Electrical Engineering,Dehradun,India,248002Anuj KumarD. Y. Patil International University (DYPIU) Akrudi,School of Computer Science Engg. & Applications,Pune,Maharashtra,411044Pushpendra Singh KharayatGraphic Era Deemed to be University,Department of Electrical Engineering,Dehradun,India,248002

2024en

ABI

Аннотация

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.

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Идентификаторы

DOI: 10.1109/icacite60783.2024.10616576

Цитирования и источники

Цитирований: 7Использованных источников: 0

Показатели — AkademScholar