✦ LIBER ✦

On the handling of fuzziness for continuous-valued attributes in decision tree generation

✍ Scribed by Wang Xizhao; Jiarong Hong

Publisher: Elsevier Science
Year: 1998
Tongue: English
Weight: 603 KB
Volume: 99
Category: Article
ISSN: 0165-0114
DOI: 10.1016/s0165-0114(97)00030-4

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✦ Synopsis

In this paper, fuzziness existing in the process of generating decision trees by discretizing continuous-valued attributes is considered. In a sense a better way to express this fuzziness via fuzzy numbers is presented using possibility theory. The fact that selection of membership functions in a class of symmetric distributions does not influence the decision tree generation is proved. The validity of using the tree to classify future examples is explained. On the basis of likelihood possibility maximization, the existing algorithm is revised. The revised algorithm leads to more reasonable and more natural decision trees.

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