The correlation coefficient between two variables is an important aspect of statistics. The
accuracy of assessments of correlation relies on information from a set of discourses. Data …

A neutrosophic set (NS) is a novel computing technique that accesses uncertain information
by using three memberships. The main goal of this study is to come up with a novel …

The Pythagorean fuzzy soft sets (PFSS) is a parametrized family and one of the appropriate
extensions of the Pythagorean fuzzy sets (PFS). It's also a generalization of intuitionistic …

The compromise solution of the multi‐criteria decision‐making (MCDM) problem by the
existing VIKOR method for Pythagorean fuzzy sets (PyFSs) is not closest to the positive ideal …

In this paper, we propose a new kNN algorithm, ie, Fuzzy Parameterized Fuzzy Soft kNN
(FPFS-kNN), based on multiple pseudo-metrics of fuzzy parameterized fuzzy soft matrices …

The correlation coefficient between two variables plays an important role in statistics. Also,
the accuracy of relevance assessment depends on information from a set of discourses. The …

Pythagorean fuzzy soft set (PFSS) is the most influential and operative extension of the
Pythagorean fuzzy set (PFS), which contracts with the parametrized standards of the …

In this paper, we first define eight pseudo-metrics and eight pseudo-similarities based on
these pseudo-metrics over fpfs-matrices. We then propose a new classification algorithm, ie …

The traditional picture hesitant fuzzy aggregation operators are generally suitable for
aggregating information acquired in the form of picture hesitant fuzzy numbers, but they will …

The concept of a bipolar metric space is presented in this article. In bipolar fuzzy metric
space, the notions of continuous t-norms and bipolar continuous symmetry t_s ts-conorms …