In recent years, the research on data mining methods has received increasing attention. In this paper, we design an uncertain system with the extracted uncertain inference rules to solve the classification problems in data mining. And then, two extraction methods integrated with ant colony optimization are proposed for the generation of the uncertain inference rules. Finally, two applications are given to verify the effectiveness and superiority of the proposed methods.
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