The linguistic Pythagorean fuzzy sets (LPFSs), which employ linguistic terms to express
membership and non-membership degrees, can effectively deal with decision makers' …

This article investigates multi-attribute group decision-making (MAGDM) problems based on
interval-valued Pythagorean fuzzy linguistic sets (IVPFLSs). The IVPFLSs are regarded as …

The partitioned Bonferroni mean (PBM) operator can efficiently aggregate inputs, which are
divided into parts based on their interrelationships. To date, it has not been used to …

The purpose of this study is to construct the multi-attribute group decision making (MAGDM)
approach with linguistic Pythagorean fuzzy information (LPFI) based on generalized …

The power average (PA) operator and Maclaurin symmetric mean (MSM) operator are two
important tools to handle the multiple attribute group decision‐making (MAGDM) problems …

To distinguish any two interval-valued Pythagorean fuzzy numbers (IVPFNs), two new
comparison functions, namely, the membership degree uncertainty (MU) function and the …

Pythagorean fuzzy set (PFS) is a powerful tool to deal with the imprecision and vagueness.
Many aggregation operators have been proposed by many researchers based on PFSs. But …

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 …

Due to the uncertainty and complexity of socioeconomic environments and cognitive
diversity of decision makers, the cognitive information over alternatives provided by decision …

The concept of intuitionistic fuzzy set (IFS) theory plays an important role in dealing with real‐
life issues under uncertain and imprecise environment. But it has certain limitations and …