Complex q-Rung Orthopair Fuzzy Aczel–Alsina Aggregation Operators and Its Application to Multiple Criteria Decision-Making With Unknown Weight Information

In decision making problems, complex q-rung orthopair fuzzy set is regarded as a more practical tool than intuitionistic and set. This paper proposes several aggregation operators based on the Aczel-Alsina t-norm t-conorm for aggregating data. The suggested are then used to establish multiple criteria decision-making (MCDM) method. operations can have advantage of good flexibility with operational parameter. this regard, we expand notions environment provide certain in study. Furthermore, show compatible features operators. To overcome defects existing entropy measures, novel approach put forward acquiring unknown weights objectively. Following that, describe an MCDM technique criterion grounded originated Then, demonstrate model’s validity, analyze solve problem concerning selection sector that had most impact Pakistan Stock Exchange. Subsequently, how parameter’s inclusion our proposed model influences outcomes. At last, generated outcomes compared past approaches technique’s superiority.