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arXiv · 1408.3002

The New Approach on Fuzzy Decision Trees

Jooyeol Yun·Jun won Seo·Taeseon Yoon
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Abstract

Decision trees have been widely used in machine learning. However, due to some reasons, data collecting in real world contains a fuzzy and uncertain form. The decision tree should be able to handle such fuzzy data. This paper presents a method to construct fuzzy decision tree. It proposes a fuzzy decision tree induction method in iris flower data set, obtaining the entropy from the distance between an average value and a particular value. It also presents an experiment result that shows the accuracy compared to former ID3.

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Jooyeol Yun, Jun won Seo, Taeseon Yoon. 2014-08-13. The New Approach on Fuzzy Decision Trees. https://arxiv.org/abs/1408.3002

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