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New genetic-based approach to generate fuzzy rules from numerical data

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3 Author(s)
Jun Zhu ; Ordnance Eng. Coll., Shijiazhuang, China ; Run-Sheng Yang ; Shi-Yu Sun

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

Published in:

Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on  (Volume:3 )

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