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In this paper we propose an extension of classification algorithm based on ant colony algorithms to obtain rules from data. Continuous attributes are handled by using the concepts of fuzzy logic. The ant colony algorithms transform continuous attributes into nominal attributes by creating clenched discrete intervals. This may lead to false predictions of the target attribute, especially if the attribute...
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