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 …

In this study, in view of expressing the uncertain information more elegantly, we shall
enlighten the q-rung orthopair fuzzy sets (q-ROFSs) and the q-rung orthopair fuzzy numbers …

In this paper, based on power aggregation (PA) operators, neutrality average and neutrality
geometric aggregation operators are proposed. Furthermore, a general score function for q …

In this manuscript, the notions of q-rung orthopair fuzzy sets (q-ROFSs) and complex fuzzy
sets (CFSs) are combined is to propose the complex q-rung orthopair fuzzy sets (Cq-ROFSs) …

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 …

The q-rung orthopair fuzzy sets (q-ROFSs) are a prominent idea to express the fuzzy
information in the decision-making process and are the generalization of the existing …

AQ‐rung orthopair fuzzy set (q‐ROFS) originally proposed by Yager (2017) is a new
generalization of orthopair fuzzy sets, which has a larger representation space of acceptable …

Abstract q-Rung orthopair fuzzy sets, originally proposed by Yager, can dynamically adjust
the range of indication of decision information by changing a parameter q based on the …

Recently proposed q-rung orthopair fuzzy set (q-ROFS) is a powerful and effective tool to
describe fuzziness, uncertainty and vagueness. The prominent feature of q-ROFS is that the …

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 …