DocumentCode
354016
Title
New genetic-based approach to generate fuzzy rules from numerical data
Author
Jun, Zhu ; Run-sheng, Yang ; Shi-yu, Sun
Author_Institution
Ordnance Eng. Coll., Shijiazhuang, China
Volume
3
fYear
2000
fDate
2000
Firstpage
1767
Abstract
Optimization of fuzzy logic controller by genetic algorithm is a very active research area. This paper develops a new genetic-based method to generate fuzzy rules from numerical data; the fuzzy rules and fuzzy membership functions can be optimized simultaneously in the algorithm. An application to truck backer-upper control is presented. The performance of this new method is compared with a non-optimized method, and shows that the new method has a better performance
Keywords
fuzzy control; genetic algorithms; optimal control; road vehicles; fuzzy control; fuzzy membership functions; fuzzy rules; genetic algorithm; optimal control; optimization; truck backer-upper control; Data engineering; Educational institutions; Fuzzy control; Fuzzy logic; Genetic algorithms; Genetic engineering; Optimization methods; Sun;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location
Hefei
Print_ISBN
0-7803-5995-X
Type
conf
DOI
10.1109/WCICA.2000.862777
Filename
862777
Link To Document