DocumentCode :
304018
Title :
Structure conclusion identification to improve the fuzzy models accuracy
Author :
Teghbit, Saliha ; Malvache, Noël ; Willaeys, Didier
Author_Institution :
Lab. de Robotique et d´´Intelligence Artificielle, Centre de Dev. des Technol. Avancees, Alger, Algeria
Volume :
1
fYear :
1996
fDate :
8-11 Sep 1996
Firstpage :
719
Abstract :
The subject deals with the accuracy problems in modeling systems, when the process is linguistically described by a set of rules such as “if the input variable is Ai then the output variable is Bj”. The influence of the fuzzy sets structure on the fuzzy model is studied, and an appropriate representation, such as the margin between the real system and the obtained model reaching its minimal value, is proposed
Keywords :
computational linguistics; fuzzy set theory; identification; modelling; optimisation; accuracy; fuzzy models; fuzzy rules; fuzzy set theory; linguistic description; membership functions; optimisation; structure conclusion identification; Chemical technology; Control system synthesis; Fuzzy control; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Input variables; Mathematical model; Modeling; Robots;
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.1996.551826
Filename :
551826
Link To Document :
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