Sample Pair Selection for Attribute Reduction with Rough Set

@article{Chen2012SamplePS,
  title={Sample Pair Selection for Attribute Reduction with Rough Set},
  author={Degang Chen and Suyun Zhao and Lei Zhang and Yongping Yang and Xiao Zhang},
  journal={IEEE Transactions on Knowledge and Data Engineering},
  year={2012},
  volume={24},
  pages={2080-2093}
}
Attribute reduction is the strongest and most characteristic result in rough set theory to distinguish itself to other theories. In the framework of rough set, an approach of discernibility matrix and function is the theoretical foundation of finding reducts. In this paper, sample pair selection with rough set is proposed in order to compress the discernibility function of a decision table so that only minimal elements in the discernibility matrix are employed to find reducts. First relative… CONTINUE READING
23 Extracted Citations
29 Extracted References
Similar Papers

Citing Papers

Publications influenced by this paper.
Showing 1-10 of 23 extracted citations

Referenced Papers

Publications referenced by this paper.
Showing 1-10 of 29 references

The Discernibility Matrices and Functions in Information Systems

  • A. Skowron, C. Rauszer
  • Intelligent Decision Support- Handbook of…
  • 1992
Highly Influential
13 Excerpts

Rough Sets: Theoretical Aspects of Reasoning About Data

  • Z. Pawlak
  • Kluwer Academic Publishers,
  • 1991
Highly Influential
16 Excerpts

Similar Papers

Loading similar papers…