A numerical solution for fully fuzzy nonlinear systems based on the Broyden method

Several iterative methods can solve a fully fuzzy nonlinear system. However, the matrix concept is preferred in solving a fully fuzzy nonlinear system of equations to make it straightforward. This article describes a numerical method that involves the idea of a matrix (Broyden’s method) in an iterative process of solving a nonlinear system of equations that is fully fuzzy and consists of the arithmetic of fuzzy triangular numbers. We also supplement this article with an algorithm (Pseudocode) and computer programming (MATLAB) to obtain solutions quickly with minimal errors.