粗糙集理论在规则抽取中的应用

Modified algorithm of extraction rules based on rough set theory

结合扩张矩阵理论,提出了一种简化规则抽取算法,该算法有效地解决了粗糙集约简算法生成的规则数量多、概括力不强的问题,并给出了相应的算法示例,示例结果证明了该算法能够有效地从信息安全事件和等级测评数据中抽取出等级测评专家系统所需的推理规则。

A new algorithm based on rough set theory and extension matrix theory is proposed as used to extract rules from examples.And this algorithm can solve to the problems that the rough set reduction produces a large quantity of rules.The practice of the algorithm is shown at the end of the paper,and the results of the practice proves that the algorithm can extract rules from information security event and classified evaluate result effectively,and it can meet the needs of classified evaluate expert system.