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Renewable-Energy-System Applications of Ambiguous-Fuzzy-Hybrid-Averaging Operator

Nisha SinghMaharaja Surajmal Institute of Technology,Department of Electrical & Electronics Engineering,Janakpuri New DelhiBhagawati Prasad JoshiGraphic Era Hill University,Department of Mathematics; Computer Science & Engineering,Bhimtal,IndiaSachin GuptaUttarakhand Technical University,Veer Madho Singh Bhandari,Department of Mechanical EngineeringAkhilesh SinghUttarakhand Technical University,Veer Madho Singh Bhandari,Department of Electrical EngineeringSachit RatheeMaharaja Surajmal Institute of Technology,Department of Electrical & Electronics Engineering,Janakpuri New Delhi

2024en

ABI

Annotatsiya

The theory of Ambiguous-Intuitionistic-Fuzzy-Sets (IFS) termed as AIFS is a better way to deal with uncertain/vagueness information as compared to IFS. Considering the novelty of AIFS, this paper presents one of the applications of AIFS to the Renewable-Energy (RE) Systems (RESs). This is achieved by taking the foundation development of Ambiguous-Intuitionistic-Fuzzy-Hybrid-Averaging-Operator referred by the AFHA operator. The incorporation of the AFHA operator into RESs is a viable approach to tackle complex difficulties. This research examines the practical uses, theoretical basis, and operational consequences of implementing AFHA operator in renewable energy systems. It also demonstrates the effectiveness of AFHA operator in addressing various operational situations in RESs. A comparative study is also included in this study to show and observe the validity of the obtained results.

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Identifikatorlar

DOI: 10.1109/icicacs60521.2024.10498184

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