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 (fpfs-…

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-…

A novel multi-space confusion image encryption (MSC-IE) method based on 2D Vincent map
is presented in this study. In order to provide a more secure method, the MSC-IE consists of …

In this study, we propose a new method, ie Adaptive Riesz Mean Filter (ARmF), by operationalizing
pixel similarity for salt-and-pepper noise (SPN) removal. Afterwards, we compare the …

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

Sustainable supplier selection (SSS) is an essential part of the decision-making process in
sustainable supply chains. Numerous research studies have been conducted using various …

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 …

Since many problems have a large amount of data or uncertainty, the computer mathematics
has become compulsory. To deal with such kinds of these problems, the concept of fuzzy …

The concept of fuzzy soft sets was defined and applied to a decision-making problem by Maji
et al. in 2001. The decision-making method used therein has potential for applications in …