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, 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 …

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 manuscript, the notions of q-rung orthopair fuzzy sets (q-ROFSs) and complex fuzzy
sets (CFSs) are combined is to propose the complex q-rung orthopair fuzzy sets (Cq-ROFSs) …

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) …

Abstract q-rung orthopair fuzzy sets (q-ROFSs) are prominent ideas to express fuzzy data in
decision-making. The q-ROFSs can dynamically adapt the area of evidence by altering the …

Supply management and environmental concerns are becoming increasingly relevant to
scientific decision analysis around the world. Several companies have implemented the …

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 low-carbon supply chain management is big a challenge for the researchers due to the
rapid increase in global warming and environmental concerns. With the advancement of 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 …