Algorithm for Energy Resource Selection Using Priority Degree-Based Aggregation Operators with Generalized Orthopair Fuzzy Information and Aczel–Alsina Aggregation Operators

Many aggregation operators are studied to deal with multi-criteria group decision-making problems. Whenever information has two aspects, intuitionistic fuzzy sets and Pythagorean employed handle the information. However, q-rung orthopair more flexible suitable because they cover widely. The current paper primarily focuses on technique based prioritization robust Aczel–Alsina t-norm t-conorm. This suggests new t-conorm, respectively. Firstly, novel prioritized averaging geometric proposed, involving priority weights of Several related results proposed investigated see their diversity. A algorithm newly established is developed, a comprehensive numerical example for selection most energy resource carried out. compared other some advantages work. have wider range handling information, degrees,