Abstract
Indiscernibilty of objects is a key concept of rough set theory, and from a viewpoint of reasoning about data in rough set data analysis, comparison of attribute values is a basis of indiscernibility of objects. However, the interrelations between attributes has not clearly considered as far as the authors know. In this paper, we discuss the importance of interrelationships between attributes in rough set data analysis, and introduce an approach to formulate and extract interrelationships between attributes from a given decision table.
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