We have researched generating distinctive implication expressions from table datasets, which we call rules. We have realized a rule generation system that we call the DIS-Apriori rule generator. This paper aims to utilize the implication expressions obtained as rules. In the first half, we focus on the dependency between attributes and the positive region and expand the positive region when contradictions are recognized. In the second half, we use the obtained rules to calculate the dependency between attributes based on the expanded positive region. The proposed method is expected to become a new method for dependency calculation.