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Most of the fuzzy classifiers are created by fuzzy rules based on apriori knowledge and expert's knowledge, but in many applications, it's difficult to obtain fuzzy rules without apriori knowledge of the data. To solve this problem, a new way of creating Mamdani fuzzy classifier based on Mamdani fuzzy logical system is proposesed in this paper, and the new fuzzy classifier is improved with the genetic...
Intrusion detection technique has become increasingly important in the area of network security research. It is innovative that various soft computing approaches have been applied to the intrusion detection field. This paper presents an intelligent intrusion detection system which incorporates several soft computing techniques to implement either misuse or anomaly detection. Genetic algorithm is used...
In this paper, the application of the classifier system to human support of hot strip mill operation and making decision rules by the classifier system are described. The rule base for the correction of operation and the judgment of performance are necessary for the system that becomes agent of the human expert. The method to extract correction rules by a classifier system is shown. To search appropriate...
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