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 …

Fuzzy parameterized fuzzy soft matrices (fpfs-matrices) which can model problems involving
fuzzy objects and parameters are one of the mathematical tools used to deal with decision …

In this article, we introduce bipolar hypersoft topological spaces over the collection of bipolar
hypersoft sets. It is proven that a bipolar hypersoft topological space gives a parametrized …

Recently, a precise and stable machine learning algorithm, ie eigenvalue classification
method (EigenClass), has been developed by using the concept of generalised eigenvalues …

Smarandache [48] introduced the concept of hypersoft set which is a generalization of soft
set. This notion is more adaptable than soft set and more suited to challenges involving …

The most significant and fundamental topological property is connectedness (resp.
disconnectedness). This property highlights the most important characteristics of topological …

In real-world problems such as voting for an election, decisions of the electorate may be split
into three types: yes, no, and abstain. The concept of picture fuzzy sets (pf-sets) has been …

Recently, the concept of interval-valued intuitionistic fuzzy parameterized interval-valued
intuitionistic fuzzy soft sets (d-sets) has successfully modelled decision-making problems …

The basic of bipolar soft set theory stands for a mathematical instrument that bringstogether
the soft set theory and bipolarity. Its definition is based on two soft sets, a set thatprovides …

Connectedness (resp. disconnectedness), which reflects the key characteristic of topological
spaces and helps in the differentiation of two topologies, is one of the most significant and …