Multi-attribute decision making based on the q-rung orthopair fuzzy Yager power weighted geometric aggregation operator of q-rung orthopair fuzzy values

The power geometric (PG) operator has the significant advantage of reducing the effects of the incorrect information given by the biased experts. Therefore, in this paper, we propose the q-rung orthopair fuzzy Yager power weighted geometric (q-ROFYPWG) aggregation operator (AO) based on the PG operator and Yager's norm for aggregating the q-rung orthopair fuzzy values (q-ROFVs). The q-ROFYPWG AO proposed in this article can conquer the shortcomings of the q-rung orthopair fuzzy weighted geometric (q-ROFWG) AO and the q-rung orthopair fuzzy Einstein weighted geometric (q-ROFEWG) AO of q-ROFVs. We also present some characteristics of the proposed q-ROFYPWG AO. Moreover, by utilizing the proposed q-ROFYPWG AO of q-ROFVs, we develop a new multi-attribute decision making (MADM) approach for q-ROFVs environment. The proposed MADM approach can conquer the drawbacks of existing MADM approaches, where they cannot distinguish the ranking orders (ROs) of alternatives in some situations. It offers a highly effective approach for dealing with MADM issues in the context of q-ROFVs.