Analysis improvement of Takagi-Sugeno fuzzy rules using convexity constraints

Author

Fiordaliso, Antonio

Author_Institution

Mons Univ., Belgium

fYear

1998

fDate

10-12 Nov 1998

Firstpage

232

Lastpage

235

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Tools with Artificial Intelligence, 1998. Proceedings. Tenth IEEE International Conference on

Conference_Location

Taipei

ISSN

1082-3409

Print_ISBN

0-7803-5214-9

Type

conf

DOI

10.1109/TAI.1998.744848

Filename

744848

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2546263