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.
Template--Base Fuzzy System Modeling / Fantuzzi, Cesare. - STAMPA. - (1995), pp. 234-240. (Intervento presentato al convegno third European Congress on Fuzzy and Intelligent Technologies, EUFIT (1995) tenutosi a Aachen (Germany) nel August 1995).
Template--Base Fuzzy System Modeling
FANTUZZI, Cesare
1995
Abstract
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.
Pubblicazioni consigliate
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris
