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 …

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 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 …

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

In this study, we define the concept of fuzzy parameterized fuzzy soft matrices (fpfs-matrices)
and present some of their basic properties. By using fpfs-matrices, we then suggest a new …

This study aims to propose the concept of intuitionistic fuzzy parameterized intuitionistic
fuzzy soft matrices (ifpifs-matrices) and to present several of its basic properties. Therefore, it …

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 …

TOPSIS, developed in 1981 by Hwang and Yoon, is one of the known multi-criteria decision-
making (MCDM) methods. In 2015, the group decision-making method based on TOPSIS …

Soft set theory, initiated by Molodtsov, is a general mathematical tool for dealing with
uncertain problems. In this paper, we first point out that the similarity measure in a previous …

Recently, the criteria-weighted fuzzy soft max-min decision-making (WFSMmDM) method
provided in [Razak, SA, Mohamad, D., A decision making method using fuzzy soft sets …