Scatter Search for Rough Set Attribute Reduction

@article{Wang2007ScatterSF,
  title={Scatter Search for Rough Set Attribute Reduction},
  author={Jue Wang and Abdel-Rahman Hedar and Guihuan Zheng and Shouyang Wang},
  journal={2007 Second International Conference on Bio-Inspired Computing: Theories and Applications},
  year={2007},
  pages={236-240}
}
Attribute reduction of an information system is a key problem in rough set theory and its applications. Using computational intelligence (CI) tools to solve such problems has recently fascinated many researchers. In this paper, we consider a meta-heuristic of scatter search to solve the attribute reduction problem in rough set theory. The proposed method, called scatter search attribute reduction (SSAR), shows promising and competitive performance compared with some other CI tools in terms of… CONTINUE READING
Highly Cited
This paper has 34 citations. REVIEW CITATIONS