Entropy measure (EM) and similarity measure (SM) are important techniques in the
environment of fuzzy set (FS) theory to resolve the similarity between two objects. The q …

In this paper, two new approaches have been presented to view q‐rung orthopair fuzzy sets.
In the first approach, these can viewed as L‐fuzzy sets, whereas the second approach is …

In recent years, different higher order fuzzy sets have been introduced to better handle the
uncertainty in many practical decision making and data mining problems. The recent …

Yager [1] introduced the concept of q-rung orthopair fuzzy sets (q-ROFSs) in which the sum
of the q th exponent of the support for membership and the q th exponent of the support …

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) …

Abstract q‐Rung orthopair fuzzy set (q‐ROFS) is a powerful tool that attracts the attention of
many scholars in dealing with uncertainty and vagueness. The aim of paper is to present a …

The aim of the paper is to introduce a novel concept of connection number‐based q‐rung
orthopair fuzzy set (CN‐q‐ROFS) and thus to develop a method for solving the multiattribute …

The assessment of classroom teaching quality is critically important for producing a positive
incentive and guidance role to improve service and management of universities, stimulating …

As a more flexible and practical approach than the Pythagorean fuzzy set and intuitionistic
fuzzy set, the q-rung orthopair fuzzy set (q-ROFS) has been widely used to express …

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 …