2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)
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Abstract

Application of attribute-oriented generalization to an informatation often lead to inconsistent results of rule induction, which can be viewed as generation of fuziness with partialization of attribute information. This paper focuses on fuzzy linguistic variables and proposes a solution for inconsistencies. The results show that domain ontology may play an important role in construction of linguistic variables.
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