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 …

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 …

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 …

In respect to the multi-attribute group decision making (MAGDM) problems in which the
evaluated value of each attribute is in the form of q-rung orthopair fuzzy numbers (q-ROFNs) …

The recently proposed q-rung orthopair fuzzy set (q-ROFS) is a powerful and effective tool to
describe uncertainty and vagueness, and Hamy mean (HM) has a significant advantage of …

The q‐rung orthopair fuzzy sets (q‐ROFs) are an important way to express uncertain
information, and they are superior to the intuitionistic fuzzy sets and the Pythagorean fuzzy …

Linguistic q‐rung orthopair fuzzy numbers (Lq‐ROFNs) are a qualitative form of q‐rung
orthopair fuzzy numbers (q‐ROFNs) where the membership and nonmembership degrees …

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 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) …

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 …