Utilizing a Hybrid Geometric Operator for AIFS Data in Renewable-Energy-Source Classification
Bhagawati Prasad Joshi, Dinesh Kumar, Dheeraj Kumar Joshi, Sanjay Oli, Ashish Rayal, Shailendra Giri
Abstract
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.