Solve fuzzy nonlinear equations by using new conjugate gradient algorithm

In this paper, a new method of conjugate gradient methods is proposed that is used in minimizing functions to solve nonlinear fuzzy equations. This method is called hybrid conjugate gradient method, where it is hybridized using convex structures, The properties of global convergence and descent have been proven using some mathematical hypotheses, The numerical results and the figures showed a clear superiority of the proposed algorithm compared to the FR and KH algorithms for solving nonlinear fuzzy equations.