Machine learning
C4.5: programs for machine learning
C4.5: programs for machine learning
On the handling of fuzziness for continuous-valued attributes in decision tree generation
Fuzzy Sets and Systems
Machine Learning
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Recently, Xizhao and Hong [Fuzzy Sets and Systems 99(1998), 283-290] proposed to revise the cut-point in a decision tree algorithm as the cross-point between two symmetric fuzzy membership functions. In this note we show that in the general class of non symmetric membership function, the cross-point depend on the precise form of the membership function.