Fuzziness from attribute generalization in information table

This paper shows some problems with combination of rule induction and attribute-oriented generalization, where if a given hierarchy includes inconsistencies, then application of hierarchical knowledge generates inconsistent rules, due to generation of fuzziness. Then, we propose an approach to solving this problem by using fuzzy linguistic variables. Also, this approach suggests that combination of rule induction and attribute-oriented generalization can be used to validate concept hierarchy.