Fuzzy sets have a great progress in every scientific research area. It found many application
areas in both theoretical and practical studies from engineering area to arts and humanities …

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 …

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 …

This paper describes the new intuitionistic fuzzy aggregation operators in consequence of
Aczel–Alsina operations that possess certain advantages in cases of solving real life …

The q‐rung orthopair fuzzy sets (q‐ROFs) are an important way to express uncertain
information, and they are superior to the intuitionistic fuzzy sets and the Pythagorean fuzzy …

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 …

In the creation of better multiple attribute decision‐making (MADM) patterns to address the
ambiguity in the expanding sophisticated of expert systems, the hypothesis of interval …

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 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 …

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 …