A comparison of two heuristics for fuzzy decision tree generation

A comparison of two heuristics for fuzzy decision tree generation

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Article ID: iaor20014084
Country: China
Volume: 20
Issue: 1
Start Page Number: 1
End Page Number: 6
Publication Date: Mar 2000
Journal: Journal of Hebei University
Authors: ,
Keywords: fuzzy sets
Abstract:

The purpose of this paper is to compare two heuristics for fuzzy decision tree generation. One heuristic is the fuzzy minimum entropy widely used in Fuzzy ID3-like algorithm while the other is the minimum uncertainty proposed in previous articles. The comparative result demonstrates the fact that the two heuristics are partially the same in the respect of expanded attribute selection; and shows some useful guidelines to choose an appropriate heuristic for a particular problem.

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