Generating Fuzzy Rules from Examples Using the Particle Swarm Optimization Algorithm

@article{Esmin2007GeneratingFR,
  title={Generating Fuzzy Rules from Examples Using the Particle Swarm Optimization Algorithm},
  author={Ahmed Ali Abdalla Esmin},
  journal={7th International Conference on Hybrid Intelligent Systems (HIS 2007)},
  year={2007},
  pages={340-343}
}
The use of fuzzy logic to solve control problems have been increasing considerably in the past years. The problem of generating desirable fuzzy rules is very important in the development of fuzzy systems. It is known that the fuzzy control rules for a control system is always built by designers with trial and error and based on their experience or some experiments. This paper presents a generation method of fuzzy rule by learning from examples using the Particle Swarm Optimization method (PSO… CONTINUE READING
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