DYNAMICAL CONTROL OF ACCURACY IN ITERATIVE METHODS FOR SOLVING FUZZY LINEAR SYSTEMS BY APPLYING FUZZY CESTAC METHOD

In this paper, The fuzzy CESTAC method is introduced in order to validate the computed results of a numerical method to solve a fuzzy linear system. For this purpose, the Gauss-Seidel and Jacobi iterative methods are used for solving a given fuzzy linear system (FLS) in the stochastic arithmetic. In this case, the CADNA library is applied to implement the algorithm and find the optimal number of iterations.