Automatically extracting T-S fuzzy models using cooperative random learning particle swarm optimization

@article{Zhao2010AutomaticallyET,
  title={Automatically extracting T-S fuzzy models using cooperative random learning particle swarm optimization},
  author={Liang Zhao and Feng Qian and Yupu Yang and Yong Zeng and Haijun Su},
  journal={Appl. Soft Comput.},
  year={2010},
  volume={10},
  pages={938-944}
}
This paper proposes a methodology for automatically extracting T–S fuzzy models from data using particle swarm optimization (PSO). In the proposed method, the structures and parameters of the fuzzy models are encoded into a particle and evolve together so that the optimal structure and parameters can be achieved simultaneously. An improved version of the original PSO algorithm, the cooperative random learning particle swarm optimization (CRPSO), is put forward to enhance the performance of PSO… CONTINUE READING
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