In this paper, based on power aggregation (PA) operators, neutrality average and neutrality
geometric aggregation operators are proposed. Furthermore, a general score function for q …

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 …

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 q-rung orthopair fuzzy sets (q-ROFSs) are a prominent idea to express the fuzzy
information in the decision-making process and are the generalization of the existing …

This article aims to develop the Aczel–Alsina operational laws based on power aggregation
operators (PAOs) for the q-Rung orthopair fuzzy set (FS)(q-ROFS) framework. Changing the …

Complex q‐rung orthopair fuzzy sets (CQROFSs) are proposed to convey vague material in
decision‐making problems. The CQROFSs can enthusiastically modify the region of proof by …

The q-rung orthopair fuzzy sets (q-ROFSs) have been proved to be an efficient tool in
expressing decision makers'(DMs) evaluation values in multiple attribute group decision …

This paper proposes a new multi-criteria group decision-making (MCGDM) method utilizing
q-rung orthopair fuzzy (qROF) sets, improved power weighted operators and improved …

In this paper, a novel approach is developed to deal with multiple‐attribute group decision‐
making (MAGDM) problem under q‐rung orthopair fuzzy environment. Firstly, some …

A q-ROFS (q-rung orthopair fuzzy set) is one of the most trustworthy tool to handle the
uncertainties in the data during the decision-making process. The q-ROFS is a …