Decision logic for rough set-based interrelationship mining

Rough Rough set-based decision rule extraction is a useful tool for data mining, however, almost approaches of decision rule extraction are based on comparison between values of the same attribute. On the other hand, the authors have proposed a concept of interrelationship mining that enables us to extract characteristics based on comparison between values of different attributes. In this paper, we consider logical aspects of interrelationship mining by introducing decision logic for interrelationship mining.