Matrix Representation of Intuitionistic Fuzzy Soft Graph

Abstract

This paper introduces intuitionistic fuzzy soft graph matrix as a powerful tool for modeling and addressing uncertainty in a wide range of scientific and practical fields. By representing intuitionistic fuzzy soft graphs in matrix form, the computational efficiency is improved when dealing with uncertain or imprecise situations. This paper defines several key operations that can be performed on intuitionistic fuzzy soft graph matrices, such as union, intersection, complement and some other operations evaluates their usefulness and relevance in decision making process.