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This paper extends the decision tree technique to an uncertain environment where the uncertainty is represented by belief functions as interpreted in the transferable belief model (TBM). This so-called belief decision tree is a new classification method adapted to uncertain data. We will be concerned with the construction of the belief decision tree from a training set where the knowledge about the...
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