Fuzzy SLIQ Decision Tree Algorithm

@article{Chandra2008FuzzySD,
  title={Fuzzy SLIQ Decision Tree Algorithm},
  author={Bala Chandra and P. Paul Varghese},
  journal={IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)},
  year={2008},
  volume={38},
  pages={1294-1301}
}
Traditional decision tree algorithms face the problem of having sharp decision boundaries which are hardly found in any real-life classification problems. A fuzzy supervised learning in Quest (SLIQ) decision tree (FS-DT) algorithm is proposed in this paper. It is aimed at constructing a fuzzy decision boundary instead of a crisp decision boundary. Size of the decision tree constructed is another very important parameter in decision tree algorithms. Large and deeper decision tree results in… CONTINUE READING
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