Pythagorean fuzzy set, generalized by Yager, is a new tool to deal with vagueness
considering the membership grade μ μ and non-membership ν ν satisfying the condition μ …

Multi-criteria decision analysis (MCDA) has been increasingly adopted to solve decision-
making problems involving multiple options and multiple criteria. These methods have been …

The paper aims at introducing novel distance measures for the intuitionistic fuzzy set (IFS) to
discuss the decision-making problems. The current work exploits four different notions of …

Clustering structures are one of the most important aspects of complex networks. Minimum
spanning tree (MST), the tree that connects all vertices with minimum total weight, can be …

Compared to the intuitionistic fuzzy sets, the Pythagorean fuzzy sets (PFSs) can provide the
decision makers with more freedom to express their evaluation information. There exist …

Pythagorean fuzzy set (PFS), originally proposed by Yager, is more capable than
intuitionistic fuzzy set (IFS) to handle vagueness in the real world. The main purpose of this …

Set pair analysis (SPA) is an updated theory for dealing with the uncertainty, which overlaps
with the other existing theories such as vague, fuzzy, intuitionistic fuzzy set (IFS). Keeping …

This study proposes a non-threshold consensus model that combines the minimum cost and
maximum consensus-increasing for multi-attribute large group decision-making (MALGDM) …

Pythagorean fuzzy set (PFS) is one of the most successful in terms of representing
comprehensively uncertain and vague information. Considering that the correlation …

The q‐rung orthopair fuzzy set (q‐ROFS), originally developed by Yager, is more capable
than that of Pythagorean fuzzy set to deal uncertainty in real life. The main goal of this paper …