MOHAMMAD SANIEE ABADEH et. al: INDUCTION OF FUZZY CLASSIFICATION SYSTEMS
نویسندگان
چکیده
In this paper we have proposed an evolutionary algorithm to induct fuzzy classification rules. The algorithm uses an ant colony optimization based local searcher to improve the quality of final fuzzy classification system. The proposed algorithm is performed on Intrusion Detection as a high-dimensional classification problem. Results show that the implemented evolutionary ACO-Based algorithm is capable of producing a reliable fuzzy rulebased classifier for intrusion detection.
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