Analysis of attribute reduction in variable precision rough set model

The reason for bounce phenomena is analyzed based on attribute reduction in the variable precision rough set model, and the method to remove this phenomena is proposed in this paper. The proposition of attribute reduction based on the quality of classification, relative positive region and lower approximation is also discussed. Addition method is used to reduct attribute and the process reflects the change of the ability of classification.