Fuzzy Soft Matrices Entropy

Abstract

This article describes how information technology and internet together infused organizations with huge amount of data. Consequently, accumulating, storing, understanding and analyzing data at a large scale is equally important and complex. Out of this data not all is information data, in order to extract information, one needs to discard redundant, irrelevant and unnecessary data. This article aims to introduce a data reduction technique which will be useful to discard irrelevant data. Here in data-reduction, the authors have used fuzzy-soft set techniques, namely fuzzy-soft information matrixes. Further, they have introduced a new fuzzy-soft information measure of fuzzy-soft matrixes.

Generalized Logarithmic Divergence Measure for Intuitionistic Fuzzy Matrix

“…Khan and Pal [8] introduced the generalised inverses of intuitionistic fuzzy matrices. For fuzzy soft matrices, Sharma et al [16] suggested a logarithmic entropy measure for fuzzy soft matrix and provided its application in decision making and data reduction problems. Inspired by the above work in the field of fuzzy matrices, in this paper, here we propose a parametric generalized logarithmic divergence measure for intuitionistic fuzzy matrices.…”