An Incvementral Rules Learning Algorithm Based on Probabilistic Rough Set Model
一种基于概率粗糙集模型的增量式规则学习算法

In this paper,an incremental rule learning algorithm based on probabilistic rough set model is presented. The method can extract rules with certainty factor and supporting number from inconsistent decision table effectively, and the rules extracted by the method have a good noise resisting ability.At the same time,the dynamic adjustment mechanism of the algorithm can satisfy the dynamic renewal of rules.At the end of the paper,the rules which meet the specified criteria are derived by applying the method to...