Haitang Zhang

Work place: Shandong University/School of Computer Science and Technology, Jinan, China

E-mail: begoniagx@gmail.com


Research Interests: Artificial Intelligence, Data Mining, Data Structures and Algorithms, Algorithm Design


Haitang Zhang is a graduate student of Computer studies from Shandong University. His current research interests include artificial intelligence, genetic algorithm, data mining. 

Author Articles
Fuzzy SLIQ Decision Tree Based on Classification Sensitivity

By Hongze Qiu Haitang Zhang

DOI: https://doi.org/10.5815/ijmecs.2011.05.03, Pub. Date: 8 Oct. 2011

The determination of membership function is fairly critical to fuzzy decision tree induction. Unfortunately, generally used heuristics, such as SLIQ, show the pathological behavior of the attribute tests at split nodes inclining to select a crisp partition. Hence, for induction of binary fuzzy tree, this paper proposes a method depending on the sensitivity degree of attributes to all classes of training examples to determine the transition region of membership function. The method, properly using the pathological characteristic of common heuristics, overcomes drawbacks of G-FDT algorithm proposed by B. Chandra, and it well remedies defects brought on by the pathological behavior. Moreover, the sensitivity degree based algorithm outperforms G-FDT algorithm in respect to classification accuracy.

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