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Text Classification: New Fuzzy Decision Tree Model
Abstract
In this chapter, a supervised automatic text documents classification using the fuzzy decision trees technique is proposed. Whatever the algorithm used in the fuzzy decision trees, there must be a criterion for the choice of discriminating attribute at the nodes to partition. For fuzzy decision trees usually two heuristics were used to select the discriminating attribute at the node to partition. In the field of text documents classification there is a heuristic that has not yet been tested. This chapter tested this heuristic. The latter was presented in the works of Yuan and Shaw (1995) and was applied in a context different then the textual classification. This heuristic is analyzed and adapted to the author's approach for text documents classification.
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