On the properties of SIRMs connected fuzzy inference method with consequent fuzzy sets

Yi et al. have proposed a Single Input Rule Modules connected fuzzy inference method with consequent fuzzy sets (SIRMs method with CFS), in which the consequent parts are extended to fuzzy sets from real numbers. This model is applied to the various control, and obtained good results. This paper first shows that the SIRMs method with CFS can be easily obtained from the center of graviy and area of fuzzy sets in consequent parts. Second, it clarifies the property of the SIRMs method with CFS, from the point of view of monotonicity. Moreover, the SIRMs method with CFS is shown to be superior to the conventional SIRMs method by applying to a medical diagnosis.