关键词: 变精度, 分支汇总粗糙度, 决策树, 体检系统

Abstract: Based on the rough set theory，this paper considers the contribution of each partitional attributes to entire classification，and gathers the contribution to avoid local best effect.In this foundation，The authors can integrate variable precision model and replace approximate precision with variable approximate precision.Then offer a new concept of variable precision branch summarized roughness which is regarded as the criteria for choosing attributes when constructing a decision tree.It improves the accuracy of attribute selection，overcomes the impact of noise data effectively and strengthened generalization ability of the decision tree.The algorithm is applied in information management systems of Wuhan City KANG Long Yi-jun health examination centers.Actual data shows that the algorithm can offer low complexity and better classification results.

Key words: variable precision, branch summarized roughness, decision tree, medical system