Tunning fuzzy model parameters with stochastic algorithms

The article subject is Mamdani model parameters optimization with stochastic algorithms. Consequently, this work describes the problem of setting fuzzing curves parameters of a model input and output. Stochastic algorithm has been described and also the results of its application in the process of Mamdani model parameters tuning. Matlab programming environment was applied in order to design the application presenting Mamdani model tuning process with stochastic algorithm for two testing functions: Rosenbrock and Rastrigin ones.