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 …

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 …

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 …

Recently proposed q-rung orthopair fuzzy set (q-ROFS) is a powerful and effective tool to
describe fuzziness, uncertainty and vagueness. The prominent feature of q-ROFS is that the …

q‐Rung orthopair fuzzy number (qROFN) is a flexible and superior fuzzy information
description tool which can provide stronger expressiveness than intuitionistic fuzzy number …

To determine the connection among any amounts of attributes, the Hamy mean (HM)
operator is one of the more broad, flexible, and dominant principles used to operate …

Interval-valued q-rung orthopair fuzzy sets (IVq-ROFSs), as a generalization of q-rung
orthopair fuzzy sets (q-ROFSs), are the powerful tool for mastering the fuzziness of …

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

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

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 …