Abstract
q-rung orthopair fuzzy sets (q-ROFSs) are prominent ideas to express fuzzy data in decision-making. The q-ROFSs can dynamically adapt the area of evidence by altering the parameter q ≥ 1 based on the fluctuation degree and therefore support more innumerable possibilities. Hence, this set defeats over the existing Atanassov intuitionistic fuzzy sets (AIFSs) and Pythagorean fuzzy sets (PFS). In today’s life, there is frequently a setup concerning a neutral attitude towards the evaluation of the decision-makers. To arrange a pleasant decision throughout the method, in this paper, we illustrate innovative operational laws by uniting the features of the membership coefficients sum as well as the interaction between the membership degrees into the study for q-ROFSs. Associated with these laws, we establish some weighted averaging neutral aggregation operators (AOs) to aggregate the q-ROF erudition. Furthermore, we introduce an innovative MAGDM (“multiattribute group decision making”) process based on suggested AOs and illustrate with numerous numerical cases to verify it. A contrastive review is also administered to confirm the supremacies of the method.
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