A Study of an Modeling Method of T-S fuzzy System Based on Moving Fuzzy
  Reasoning and Its Application
  To improve the effectiveness of the fuzzy identification, a structure
identification method based on moving rate is proposed for T-S fuzzy model. The
proposed method is called "T-S modeling (or T-S fuzzy identification method)
based on moving rate". First, to improve the shortcomings of existing fuzzy
reasoning methods based on matching degree, the moving rates for s-type, z-type
and trapezoidal membership functions of T-S fuzzy model were defined. Then, the
differences between proposed moving rate and existing matching degree were
explained. Next, the identification method based on moving rate is proposed for
T-S model. Finally, the proposed identification method is applied to the fuzzy
modeling for the precipitation forecast and security situation prediction. Test
results show that the proposed method significantly improves the effectiveness
of fuzzy identification.
