Intuitionistic fuzzy sets are the most widely used fuzzy set extension in the literature. It is a
fuzzy set extension in which decision makers specify the degree of membership of the …

In many real-life decision making (DM) situations, the available information is vague or
imprecise. To adequately solve decision problems with vague or imprecise information …

Uncertainty is inevitable in the decision-making process of real applications. Quantum
mechanics has become an interesting and popular topic in predicting and explaining human …

Fermatean fuzzy sets (FFSs), proposed by Senapati and Yager (0000), can handle uncertain
information more easily in the process of decision making. They defined basic operations …

The key objective of the present proposed work in this paper is introduced a new version of
picture fuzzy set so called spherical fuzzy sets (SFS). spherical fuzzy set is a new extension …

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 …

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 theory of q-rung orthopair fuzzy sets (q-ROFSs) proposed by Yager effectively describes
fuzzy information in the real world. Because q-ROFSs contain the parameter q and can …

The idea of intuitionistic fuzzy sets (IFSs) is a reasonable soft computing construct for
resolving ambiguity and vagueness encountered in decision-making situations. Cases such …

In the real multi‐attribute group decision making (MAGDM), there will be a mutual
relationship between different attributes. As we all know, the Bonferroni mean (BM) operator …