To provide a larger space for decision makers, q-rung orthopair fuzzy sets (q-ROFS) can
express their uncertain information. As a generalization of the algebraic operations, and 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) …

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 …

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 …

Abstract q-rung orthopair fuzzy sets (q-ROFSs) are advantageous for accurately expressing
the preferences of decision-makers (DMs) due to their membership and non-membership …

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 …

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 …

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-ROFSs) are a prominent idea to express the fuzzy
information in the decision-making process and are the generalization of the existing …

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 …