Статья

Utilizing a Hybrid Geometric Operator for AIFS Data in Renewable-Energy-Source Classification

Bhagawati Prasad JoshiGraphic Era Hill University,CSE,Dept. of Mathematics,Bhimtal,India,263136Dinesh KumarSRM Institute of Science & Technology,Dept. of Computer Science & Engg.,Ghaziabad,UP,India,201204Dheeraj Kumar JoshiDIT University,Dept. of Mathematics,Dehradun,India,248009Sanjay OliDayananda Sagar College of Engg.,Dept. of Mathematics,Bangalore,India,560078Ashish RayalUttaranchal University,Dept. of Mathematics,Dehradun,India,248007Shailendra GiriGovt of Uttarakhand,Dept. of Mathematics, Education Dept.,Pauri Garhwal,India,246001

2024en

ABI

Аннотация

In this study, a new operator is announced in the domain of Ambiguous Intuitionistic Fuzzy Set (AIFS) theory. As AIFS handle uncertainties more effectually than Fuzzy Sets (FS) and intuitionistic FS (IFS). Generating a scheme for classifying Renewable Energy Sources (RESs) in the AIFS background is the main goal. A new aggregation operator called Ambiguous-Intuitionistic-Hybrid-Geometric (AIFHG) operator is offered to fuse the AIFS information in decision science. With the help of this operator, a decision method for effectively addressing the RES-selection problem within the context of AIFS is established and successfully implemented. The comparison analysis is also included to validate the efficacy of the proposed framework.

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Идентификаторы

DOI: 10.1109/idciot59759.2024.10467252

Цитирования и источники

Цитирований: 5Использованных источников: 0

Показатели — AkademScholar