Fuzzy modelling: a rule based approach

Author

Abreu, António ; Custódio, Luís ; Pinto-Ferreira, Carlos

Author_Institution

Escola Superior de Tecnologia, Setubal, Portugal

Volume

1

fYear

1996

fDate

8-11 Sep 1996

Firstpage

162

Abstract

System modelling is an important subject in engineering both from a research point of view and from a practical perspective models have an important role in several intelligent systems and, as it is observed from the research developed in the last years, fuzzy logic is relevant to this topic. This is mainly due to the expressiveness of fuzzy logic that permits the treatment of some kinds of uncertainty largely present in real systems. Also, the if-then rule mechanism is easy to manipulate and, in a certain extent, domain independent. A modelling procedure must produce good models in an effective way. This is the main concern of this paper

Keywords

filtering theory; fuzzy logic; inference mechanisms; modelling; uncertainty handling; fuzzy logic; fuzzy modelling; if-then rule mechanism; intelligent systems; rule based approach; uncertainty; Clustering algorithms; Fuzzy control; Fuzzy logic; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Genetic algorithms; Neural networks; Prototypes; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 1996., Proceedings of the Fifth IEEE International Conference on

Conference_Location

New Orleans, LA

Print_ISBN

0-7803-3645-3

Type

conf

DOI

10.1109/FUZZY.1996.551736

Filename

551736