Title :
Analysis improvement of Takagi-Sugeno fuzzy rules using convexity constraints
Author :
Fiordaliso, Antonio
Author_Institution :
Mons Univ., Belgium
Abstract :
We present a modification of the GTS (Generalized Takagi-Sugeno) model (Fiordaliso, 1996). The key idea is to constrain the conclusions of each rule to perform a convex combination of the input patterns. This constraint allows to interpret each rule as an input patterns mixer and therefore contributes to a better understanding of the system inference
Keywords :
constraint theory; fuzzy logic; fuzzy set theory; inference mechanisms; GTS model; Generalized Takagi-Sugeno model; Takagi-Sugeno fuzzy rules; constraint; convex combination; convexity constraints; inference; input patterns; Cost function; Electronic mail; Fuzzy sets; Fuzzy systems; Input variables; Least squares methods; Parameter estimation; Polynomials; Predictive models; Takagi-Sugeno model;
Conference_Titel :
Tools with Artificial Intelligence, 1998. Proceedings. Tenth IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
0-7803-5214-9
DOI :
10.1109/TAI.1998.744848
