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A novel knowledge discovery method to multiple classifier fusion is proposed. In the new method, all base classifiers are viewed as predictors relating to domain knowledge, and they may be allowed to operate in different feature spaces. Then the beliefs assigned to each base classifier are generated automatically from the established decision tables (DTs). For this purpose, two types of belief structures...
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