The q‐rung orthopair set (q‐ROFSs) can serve as a generalization of the existing orthopair
fuzzy sets, including intuitionistic fuzzy sets and Pythagorean fuzzy sets. The most desirable
characteristic of q‐ROFSs is that they support a greater space of allowable membership
grades and provide decision makers more freedom in describing their true opinions. As a
classical aggregation operator, Heronian mean (HM) can model the interrelationship
between attributes. In this paper, we extend the traditional HM to aggregate q‐rung orthopair …

To be able to describe more complex fuzzy uncertainty information effectively, the concept of
q-rung orthopair fuzzy sets (q-ROFSs) was first proposed by Yager. The q-ROFSs can
dynamically adjust the range of indication of decision information by changing a parameter q
based on the different hesitation degree from the decision-makers, where q≥ 1, so they
outperform the traditional intuitionistic fuzzy sets and Pythagorean fuzzy sets. In real
decision-making problems, there is often an interaction phenomenon between attributes. For …