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 …

Two critical tasks in multi-criteria group decision making (MCGDM) are to describe criterion
values and to aggregate the described information to generate a ranking of alternatives. A …

The q-rung orthopair fuzzy set (q-ROFS) is a generalized orthopair fuzzy set which quantifies
vague information comprehensively. The objective of this paper was to develop some novel …

The cubic q-rung orthopair fuzzy set (Cq-ROFS) contains much more information to
determine the interval valued q-rung orthopair fuzzy sets (IVq-ROFSs) and q-rung orthopair …

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 …

To provide a larger space for decision makers, q-rung orthopair fuzzy sets (q-ROFS) can
express their uncertain information. As a generalization of the algebraic operations, and the …

Complex q-rung orthopair fuzzy set (CQROFS), as a modified notion of complex fuzzy set
(CFS), is an important tool to cope with awkward and complicated information. CQROFS …

In comparison to intuitionistic and Pythagorean fuzzy sets, the q-rung orthopair fuzzy set is a
more capable tool for dealing with uncertainties associated with the data. The objective of …

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 …