A similarity measure is being widely used as a tool to create the degree of similarity between
two different objects or sets. Several similarity measures between two Pythagorean fuzzy …

In 2013, Yager introduced the theory of Pythagorean fuzzy set (PFS) to generalize the
application range of fuzzy sets. Compared with fuzzy set and intuitionistic fuzzy set (IFS) …

Similarity measures based-distance for intuitionistic fuzzy sets (IFSs) have been proposed to
the literature. However, this sort of similarity measure has an impediment as it cannot fulfill …

Similarity measure, as a tool to measure the similarity degree between two objects, is an
important research content in fuzzy set theory. Pythagorean fuzzy set, as a new extension of …

Pythagorean fuzzy sets are an extension of intuitionistic fuzzy sets and are more efficient
from an application perspective. Though the Pythagorean fuzzy sets are more informative …

Pythagorean fuzzy set (PFS) is a more flexible and effective way than intuitionistic fuzzy set
(IFS) to seize indeterminacy. In this context, the main aim is to develop a number of new …

In this paper, we presented 10 similarity measures between Pythagorean fuzzy sets (PFSs)
based on the cosine function by considering the degree of membership, degree of …

The concept of Pythagorean fuzzy sets (PFSs) is pertinent in finding reliable solution to
decision-making problems, because of its unique nature of indeterminacy. Pythagorean …

In this paper, we develop a new and flexible method for Pythagorean fuzzy decision‐making
using some trigonometric similarity measures. We first introduce two new generalized …

The concept of Pythagorean fuzzy sets is very much applicable in decision science because
of its unique nature of indeterminacy. The main feature of Pythagorean fuzzy sets is that it is …