In the practical world, there commonly exist different types of multiple-attribute group
decision making (MAGDM) problems with uncertain information. Symmetry among some …

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 notion of q-rung orthopair fuzzy sets (q-ROFSs) enables decision makers to record
diverse uncertain information in a larger scope by easing the limitation of membership and …

The q‐rung orthopair sets (q‐ROFSs) is an extended version of conventional orthopair fuzzy
sets, such as intuitionistic fuzzy sets (IFSs) and Pythagorean fuzzy sets (PFSs). The most …

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 …

Extended q-rung orthopair fuzzy sets (q-ROFSs) is an excellent tool to depict the qualitative
assessing information in multiple attribute group decision making (MAGDM) environments …

In respect to the multi-attribute group decision making (MAGDM) problems in which the
evaluated value of each attribute is in the form of q-rung orthopair fuzzy numbers (q-ROFNs) …

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 …

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 …

Abstract p, q-quasirung orthopair fuzzy set (p, q-QOFS) is an extension of the q-rung
orthopair fuzzy set (q-ROFS) theory used to represent uncertainty and vagueness in …