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 …

The q-rung orthopair fuzzy sets (q-ROFSs) can serve as a generalization of intuitionistic
fuzzy sets (IFSs) and Pythagorean fuzzy sets (PFSs). q-ROFSs provide more freedom for …

The information measures (IMs) of complex fuzzy information are very useful tools in the
areas of machine learning and decision making. In some multi-attribute group decision …

The q‐rung orthopair fuzzy set (q‐ROFS), originally developed by Yager, is more capable
than that of Pythagorean fuzzy set to deal uncertainty in real life. The main goal of this paper …

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 …

In this article, we propose another form of ten similarity measures by considering the function
of membership degree, non-membership degree, and indeterminacy membership degree …

Q-rung orthopair fuzzy (q-ROF) set is one of the powerful tools for handling the uncertain
multi-criteria decision-making (MCDM) problems, various MCDM methods under q-ROF …

The q-rung orthopair fuzzy set theory is a flexible tool for dealing with the ambiguity of
human judgements information as compared to the fuzzy, Atanassov intuitionistic fuzzy and …

The q‐rung orthopair fuzzy set (qROPFS), proposed by Yager, is a more effective and
proficient tool to represent uncertain or vague information in real‐life situations. Divergence …

A q-rung orthopair fuzzy (q-ROF) set (q-ROFS) is one of the advanced fuzzy sets capable of
processing complex real-world information satisfactorily. q-ROF distance measures are used …