New Approach for Interpretability of Neuro-Fuzzy Systems with Parametrized Triangular Norms

摘要: In this paper we proposed a new approach for interpretability of the neuro-fuzzy systems. It is based on appropriate use parametric triangular norms with weights arguments, which shape depends values their parameters and weights. The those as aggregation inference operators increases precision fuzzy system. Due to that, rule base can be simpler easier interpretation. However, interpretation not that obvious nonparametric such algebraic or minimal norms. Proposed choosing from set values, where each value have its own Additionally, modified tuning algorithm selection both structure system criteria under consideration proposed. were tested well-known nonlinear simulation problems.