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) …

In this paper, a set of Dombi power partitioned Heronian mean operators of q-rung orthopair
fuzzy numbers (q ROFNs) are presented, and a multiple attribute group decision making …

In this paper, according to the Maclaurin symmetric mean (MSM) operator, the dual MSM
(DMSM) operator and the q‐rung interval‐valued orthopair fuzzy set (q‐RIVOFS), we …

The q‐rung orthopair set (q‐ROFSs) can serve as a generalization of the existing orthopair
fuzzy sets, including intuitionistic fuzzy sets and Pythagorean fuzzy sets. The most desirable …

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 …

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 Maclaurin symmetric mean (MSM) and dual Maclaurin symmetric mean (DMSM)
operators are two aggregation operators to aggregate the q-rung orthopair fuzzy numbers (q …

In the article, we establish two multiple attribute decision making (MADM) approaches using
the developed weighted generalized Maclaurin symmetric mean (q-ROFWGMSM) and …

In this paper, based on the advantages of q-rung orthopair fuzzy sets (q-ROFSs), complex
fuzzy sets (CFSs) and cubic sets (CSs), the concept of complex cubic q-rung orthopair fuzzy …

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 …