Feature selection based on rough sets and particle swarm optimization

@article{Wang2007FeatureSB,
  title={Feature selection based on rough sets and particle swarm optimization},
  author={Xiangyang Wang and Jie Yang and Xiaolong Teng and Weijun Xia and Richard Jensen},
  journal={Pattern Recognition Letters},
  year={2007},
  volume={28},
  pages={459-471}
}
We propose a new feature selection strategy based on rough sets and Particle Swarm Optimization (PSO). Rough sets has been used as a feature selection method with much success, but current hill-climbing rough set approaches to feature selection are inadequate at finding optimal reductions as no perfect heuristic can guarantee optimality. On the other hand… CONTINUE READING

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