AN ALGORITHM BASED ON ROUGH SET FOR MINING DEFAULT RULES

The rough set approach is an important tool to deal with uncertain or vague knowledge in AI applications. In this paper, the rough set theory is deeply researched, and an algorithm MDRBR for mining default rules based on rough set theory is proposed. Experimental result shows that this algorithm can effectively filter noise and solve the problem of time consuming data mining of default rules.