Yoshiki Uchikawa

A study on fuzzy GMDH with comprehensible fuzzy rules

This paper presents a new fuzzy group method of data handling (GMDH). The new fuzzy modeling method, having the features of the hierarchical fuzzy modeling method, expands the exploratory space for fuzzy models. Simulations using numerical data are done to show the effectiveness of the proposed method.<<ETX>>

Efficient fuzzy modeling and evaluation criteria

Hierarchical fuzzy modeling using fuzzy neural networks (FNN) is one of the effective approaches for modeling of nonlinear systems. Decision of antecedent structures of fuzzy models of nonlinear systems is made possible by a combination of FNN and genetic algorithm (GA). The disadvantage of this fuzzy modeling method is that the learning of FNN is time consuming. This paper presents an efficient fuzzy modeling method using simple fuzzy inference. The results of fuzzy modeling are heavily dependent on evaluation criteria. This paper also studies effects of evaluation criteria for the decision of the antecedent structure. Numerical experiments are done.