In this paper, the Hamy mean (HM) operator, weighted HM (WHM), dual HM (DHM) operator,
and dual WHM (WDHM) operator under the q‐rung orthopair fuzzy sets (q‐ROFSs) is …

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 generalized Heronian mean and geometric Heronian mean operators provide two
aggregation operators that consider the interdependent phenomena among the aggregated …

In the practical world, there commonly exist different types of multiple-attribute group
decision making (MAGDM) problems with uncertain information. Symmetry among some …

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

The q‐rung orthopair fuzzy sets are superior to intuitionistic fuzzy sets or Pythagorean fuzzy
sets in expressing fuzzy and uncertain information. In this paper, some partitioned …

In this paper, we extend the Hamy mean (HM) operator and dual Hamy mean (DHM)
operator with Pythagorean fuzzy numbers (PFNs) to propose Pythagorean fuzzy Hamy …

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 …

The recently proposed q-rung orthopair fuzzy set (q-ROFS) is a powerful and effective tool to
describe uncertainty and vagueness, and Hamy mean (HM) has a significant advantage of …

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 …