The aim of this article is to develop a novel multiple criteria decision analysis (MCDA)
method using a Pearson‐like correlation‐based Pythagorean fuzzy (PF) compromise …

The aim of this paper is to develop a novel correlation-based compromise approach for
addressing multiple criteria decision analysis problems under complex uncertainty based on …

The theory of Pythagorean fuzzy sets possesses significant advantages in handling
vagueness and complex uncertainty. Additionally, Pythagorean fuzzy information is useful to …

The aim of this paper is to develop a novel consensus ranking method that uses a mixed
choice strategy for multiple criteria decision analysis (MCDA) under complex uncertainty …

This paper aims at developing a novel generalized distance measure of Pythagorean fuzzy
(PF) sets and constructing a distance-based compromise approach for multiple criteria …

The Pythagorean cubic fuzzy set (PCFS) describes a mixture of interval Pythagorean
information and Pythagorean fuzzy values. Compared to the Pythagorean and interval …

Pythagorean fuzzy set, initially extended by Yager from intuitionistic fuzzy set, is capable of
modeling information with more uncertainties in the process of multi-criteria decision making …

Considering the new uncertainty format of Pythagorean fuzzy (PF) sets, this research aims to
launch a point operator-based likelihood measure and establish a PF preference ranking …

Interval Pythagorean fuzzy set (IPFS), which can handle imprecise and ambiguous
information, has attracted considerable attention in both theory and practice. However, one …

With the increasing complexity of decision making (DM) problems, powerful mathematical
tools are needed to represent and process fuzzy and uncertain DM information, and …