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 …

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 …

The cubic q-rung orthopair fuzzy set (Cq-ROFS) contains much more information to
determine the interval valued q-rung orthopair fuzzy sets (IVq-ROFSs) and q-rung orthopair …

In multi-attribute group decision-making (MAGDM), the attributes can be placed into
independent groups based on their properties through partitioning. First, the partitioned dual …

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 …

In this paper, we propose the q-rung orthopair fuzzy weighted averaging (q-ROFWA)
aggregation operator (AO) of q-rung orthopair fuzzy numbers (q-ROFNs). The proposed 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 fuzzy sets (q-ROFSs), originally proposed by Yager, can express
uncertain data to give decision-makers more space. The q-ROFS is a useful tool for …

The recently proposed q-rung orthopair fuzzy set (q-ROFS) characterized by a membership
degree and a non-membership degree is powerful tool for handling uncertainty and …