A Neuro-Fuzzy System Using Logical Interpretation of If-Then Rules and its Application to Diabetes Mellitus Forecasting

• Autorzy: Łęski J. , Henzel N.
• Języki publikacji: EN

Abstrakty

EN

Initially, an axiomatic definition of fuzzy implication has been recalled. Next, several important fuzzy implications and their properties have been described. Then, the idea of approximate reasoning using generalized modus ponens and fuzzy implication are considered. After reviewing well-known fuzzy systems, a new Artificial Neural network Based on Logical Interpretation of if-then Rules (ANBLIR) is introduced. The elimination of non-informative part of final fuzzy set before defuzzification plays the pivotal role in this system. The application of ANBLIR to recognition of non-insulin-dependent diabetes mellitus in Pima Indians is shown.

• Wydawca: Polish Academy of Sciences, Committee of Automatic Control and Robotics
• Czasopismo: Archives of Control Sciences
• Rocznik: 1999
• Tom: Vol. 9, no. 1/2
• Strony: 107--122
• Opis fizyczny: Bibliogr. poz. 30

Twórcy

autor

Łęski J.

autor

Henzel N.

• Institute of Electronics, Technical University of Silesia, Gliwice