Template--Base Fuzzy System Modeling

In this paper a template--base algorithm for fuzzy system modeling is presented and discussed. The algorithm identifies the fuzzy rules describing the system behavior from input--output data. This approach assumes an expert has provided a collection of linguistic terms (templates) that describe the fuzzy model environment. The algorithm computes the {\em level of firing} of templates by the input--output data. The best rule candidate is formed by picking up the terms with closer level of firing. In order to show the procedure performance, the identification of algebraic and dynamics systems are reported