Modification of the new conjugate gradient algorithm to solve nonlinear fuzzy equations

The conjugate gradient approach is a powerful tool that used in variety of areas to solve problems involving large-scale reduction. In this paper, we propose new parameter nonlinear algorithms fuzzy equations based on Polak and Ribiere (PRP) method, where prove the descent global convergence properties proposed algorithm. terms numerical results, method has been compared with methods Fletcher (CD), Reeves (FR), (PRP). algorithm outperformed rest number iterations finding best value for function variables.