Abstract: 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 th

Key words: Rough set, Probabilistic rough set, Rules learning, Inconsistent decision table