基于Rough Set理论的一种属性值约简算法

属性值的约简是Rough Set理论的核心内容之一。它的口的就是在保持规则集的分类能力的条件下，删除多余属性值，进一步简化规则集。从而，得到最小的知识库。本文针对Rough Set理论中值约简这个重要问题进行了研究，提出了一种利用决策规则质量的属性值约简算法。该算法比现有的值约简算法更简化，并用实验证明了其有效性。

A Value Reduction Algorithm Based on Rough Set Theory

The value reduction is one of the highlight of Rough Set theory.Its purpose is to reduce superfluous attributes value to make the rule set more generalizable on the condition that it keeps classification capacity of the rule set.Accordingly,it can get the least knowledge base.This paper discusses one important issue in rough set research which is value reduction.A value reduction algorithm is presented based on decision rule quality.The new algorithm is briefer than the algorithm at present.The experimental and performance studies show that it is workable.