DocumentCode :
303959
Title :
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
Link To Document :
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