Proceedings ArticleDOI
A new method for design of fuzzy logic systems
Tan Wei,Li Dianpu,Guo Zhenming,Tang Jiheng +3 more
- Vol. 3, pp 1566-1568
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TLDR
Simulation results show that the chaos-simplex search algorithm can avoid a great deal of adjusting work of the design process and is a more effective and simple method for design of a fuzzy logic system.Abstract:
In order to improve the accuracy of a chaotic optimization method, the paper describes a hybrid algorithm called chaos-simplex search by combining a chaotic optimization method and a simplex search. Then this new algorithm is used for design of a fuzzy logic system. Simulation results show that the chaos-simplex search algorithm can avoid a great deal of adjusting work of the design process and is a more effective and simple method for design of a fuzzy logic system.read more
References
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Journal ArticleDOI
Learning and tuning fuzzy logic controllers through reinforcements
H.R. Berenji,P. Khedkar +1 more
TL;DR: The generalized approximate-reasoning-based intelligent control (GARIC) architecture learns and tunes a fuzzy logic controller even when only weak reinforcement is available; introduces a new conjunction operator in computing the rule strengths of fuzzy control rules; and learns to produce real-valued control actions.
Journal ArticleDOI
A GA paradigm for learning fuzzy rules
TL;DR: Results have shown that the GA learning approach has great potential as a tool for the learning of fuzzy control rules, particularly in situations where the knowledge from a human expert is not easily accessible.