Clustering has primarily been used as an analytical technique to group unlabeled data for
extracting meaningful information. The fact that no clustering algorithm can solve all …

Fuzzy sets have a great progress in every scientific research area. It found many application
areas in both theoretical and practical studies from engineering area to arts and humanities …

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 …

The most straightforward approaches to checking the degrees of similarity and differentiation
between two sets are to use distance and cosine similarity metrics. The cosine of the angle …

In this paper, we first introduce novel concepts of m-polar neutrosophic set (MPNS) and
topological structure on m-polar neutrosophic set by combining the m-polar fuzzy set (MPFS) …

It is very common to use linguistic information to solve decision-making problems in real life,
and the double hierarchy hesitant fuzzy linguistic term set (DHHFLTS) has been widely used …

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 …

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 …

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 …

Due to the potential harm to public health as well as the environment, medical waste
treatment have emerged as a critical concern, especially in develo** nations. The …