Automatic generating fuzzy rules with a particle swarm optimization
Ming Ma, Chunguang Zhou, Libiao Zhang, Quansheng Dou · 2005
We have proposed a pruning algorithm to obtain the desirable fuzzy rules based on particle swarm optimization. Compared the standard particle swarm optimization, in the proposed algorithm we adopted a binary value vector and a real values vector to represent a solution, and used the different equation to update the different parameters. Numerical simulations show the effectiveness of the proposed algorithm.