Fuzzy decision tree induction algorithm is an important way with uncertain information. However, the current fuzzy decision tree algorithms do not systematically consider the impact of different fuzzy levels and simply make uncertainty treatment awareness into the selection of extended properties. To avoiding this problem, this paper establishes a generating Hartley measure model based on cut-standard, subsequently, proposes fuzzy ID3 algorithm based on generating Hartley measure model, finally, the results of the experiments indicates that the model is feasible and effective. © 2011 Springer-Verlag.
CITATION STYLE
Li, F., & Jiang, D. (2011). Fuzzy ID3 algorithm based on generating hartley measure. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6988 LNCS, pp. 188–195). https://doi.org/10.1007/978-3-642-23982-3_24
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