RULES DISCOVERY FROM INCOMPLETE INFORMATION SYSTEMS BY GDT APPROACH

In this paper, a GDT based approach for rules discovery from incomplete information systems is proposed. This approach introduces the GDT technique to extract rules with strength so that the rule could effectively perform in real application. The approach does not require changing the size of original incomplete information systems and is suitable for any information systems. Finally, several existing methods of computing decision rules from incomplete information systems are analyzed and compared. The results show that this approach is a new effective approach for rule discovery from incomplete information system.