Prioritized Aggregation Operators for Intuitionistic Fuzzy Information Based on Aczel–Alsina T-Norm and T-Conorm and Their Applications in Group Decision-Making

In multi-attribute group decision-making (MAGDM) problems, prioritization is sometimes important. Several techniques and methods have been introduced in fuzzy systems to use prioritization. The main purpose of this paper propose prioritized aggregation operators (AOs) for intuitionistic (IF) information. These AOs are symmetric nature based on the novel Aczel–Alsina t-norm t-conorm. Herein, we IF-prioritized averaging (IFPAAA) geometric (IFPAAG) operators. It shown that these satisfy basic features aggregation. Some additional results also investigated. proposed can capture phenomenon among aggregated arguments, weights obtained from expert Finally, used an MAGDM problem where a doctor selected hospital. A comparison established with other well-known show significance IFPAAA IFPAAG