Attribute Reduction Based on Fuzzy Rough Sets

  • Authors:
  • Degang Chen;Xizhao Wang;Suyun Zhao

  • Affiliations:
  • Department of Mathematics and Physics, North China Electric Power University, Beijing, 102206, P.R. China;Department of Mathematics and Computer Science, Hebei University, Baoding, Hebei, 071002, P.R. China;Department of Mathematics and Computer Science, Hebei University, Baoding, Hebei, 071002, P.R. China

  • Venue:
  • RSEISP '07 Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

In T茂戮驴fuzzy rough sets a fuzzy T茂戮驴similarity relation is employed to describe the similar degree between two objects and to construct lower and upper approximations for arbitrary fuzzy sets. The existing researches on T茂戮驴fuzzy rough sets mainly concentrate on constructive and axiomatic approaches of lower and upper approximation operators. In this paper we define attribute reduction based on T茂戮驴fuzzy rough sets. The structure of proposed attribute reduction is investigated in detail by the approach of discernibility matrix. At last an example is proposed to illustrate our idea in this paper.