抄録
Single Input Rule Modules connected fuzzy inference method (SIRMs method, for short) by Yubazaki can decrease the number of fuzzy rules drastically in comparison with the conventional fuzzy inference methods. Seki et al. have proposed functional type single input rule modules connected fuzzy inference method (functional type SIRMs method, for short) which generalizes the consequent part of SIRMs method to function. In this paper, we propose learning algorithm of functional type SIRMs method, and the functional type SIRMs method is shown to be superior to the conventional SIRMs method and neuro-fuzzy method by applying to a medical diagnosis system.
