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

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

Abstract q-Rung orthopair fuzzy sets, originally proposed by Yager, can dynamically adjust
the range of indication of decision information by changing a parameter q based on the …

The key objective of the proposed work in this paper is to introduce a generalized form of
linguistic picture fuzzy set, so-called linguistic spherical fuzzy set (LSFS), combining the …

The notions of complex q-rung orthopair fuzzy sets (Cq-ROFSs) and linguistic sets (LSs) are
two different concepts to deal with uncertain information in multi-attribute group decision …

Linguistic q‐rung orthopair fuzzy numbers (Lq‐ROFNs) are a qualitative form of q‐rung
orthopair fuzzy numbers (q‐ROFNs) where the membership and nonmembership degrees …

Supplier selection is one of the most important multi-criteria decision-making (MCDM)
problems for decision-makers in the competitive market. Today's organizations are seeking …

In this paper, we first introduce the concept of q‐rung orthopair hesitant fuzzy set (q‐ROHFS)
and discuss the operational laws between any two q‐ROHFSs. Then the distance measures …

Pythagorean fuzzy set is a useful tool to deal with the fuzziness and vagueness. Many
aggregation operators have been proposed by many researchers based on Pythagorean …