Complex fuzzy (CF) sets (CFSs) play an important role in modeling two-dimensional
information challenges. Researchers exploring decision-making systems have recently …

The picture fuzzy sets (PFSs) state or model the voting information accurately without
information loss. However, their existing operational laws usually generate unreasonable …

The interaction operation laws (IOLs) between membership functions can effectively avoid
the emergence of counterintuitive situations. The power average (PA) operator can eliminate …

The purpose of this paper is to introduce the concepts of Dombi t-norm and Dombi t-conorm
to aggregate intuitionistic fuzzy information. First, we have proposed some new operational …

Aggregation operators are the standard mathematical tool for the combination of several
inputs into one unique output. This paper presents some aggregation operators for complex …

In this paper, we develop some new operational laws and their corresponding aggregation
operators for picture fuzzy sets (PFSs). PFS is a powerful tool to deal with vagueness, which …

Pythagorean fuzzy sets (PFSs) accommodate more uncertainties than Lx the intuitionistic
fuzzy sets and hence its applications are more extensive. Under the PFS, the objective of …

The cosine similarity measure has been widely studied under different information
environments. Generally, average cosine similarity values are used to find the degree of …

Supplier selection is a hot issue in logistics and procurement under the new economic
situation. For the problems of supplier selection, the uncertainty and complexity of decision …

The green supplier selection is one of the popular multiple attribute group decision making
(MAGDM) problems. The spherical fuzzy sets (SFSs) can fully express the complexity and …