An Approximate Approach to Attribute Reduction

نویسندگان

  • Xiaobing Pei
  • YuanZhen Wang
چکیده

The attribute reduction is one of key processes for knowledge acquisition. This paper deals with approximate approach to attribute reduction. The concept of minimal discernible attributes set is introduced and a calculation method for it is investigated. And then, the judgment theorem with respect to keeping positive region invariability is obtained, from which an approximate approach to attribute reduction aimed at the above processes is proposed. In addition, its time complexity and some proofs were presented in detail. Finally, the experimental results show that this algorithm is effective and efficient.

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تاریخ انتشار 2006