The advent of Yager's generalized orthopair fuzzy sets (also called q-rung orthopair fuzzy
sets) has brought more possibilities to accomplish the challenging task of modelling …

The notion of generalized orthopair fuzzy sets, as a natural extension of both intuitionistic
fuzzy sets and Pythagorean fuzzy sets, provides a more flexible framework for expressing …

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 …

Q-rung orthopair fuzzy sets have been widely utilized in recent years to encounter
uncertainties. At the same time, the idea of normal fuzzy numbers seems closer to human …

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 …

The theory of q-rung orthopair fuzzy sets (q-ROFSs) proposed by Yager effectively describes
fuzzy information in the real world. Because q-ROFSs contain the parameter q and can …

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 …

Q‐rung orthopair fuzzy sets (q‐ROFSs), initially proposed by Yager, are a new way to reflect
uncertain information. The existing intuitionistic fuzzy sets (IFSs) and Pythagorean fuzzy sets …

A q-rung orthopair fuzzy set is one of the effective generalizations of fuzzy set for dealing
with uncertainties in information. Under this environment, in this study, we define a new type …

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) …