COMPARING DIFFERENT STOPPING CRITERIA FOR FUZZY DECISION TREE INDUCTION THROUGH IDFID3

@inproceedings{Zeinalkhani2014COMPARINGDS,
  title={COMPARING DIFFERENT STOPPING CRITERIA FOR FUZZY DECISION TREE INDUCTION THROUGH IDFID3},
  author={Mohsen Zeinalkhani and Mahdi Eftekhari},
  year={2014}
}
Fuzzy Decision Tree (FDT) classifiers combine decision trees with approximate reasoning offered by fuzzy representation to deal with language and measurement uncertainties. When a FDT induction algorithm utilizes stopping criteria for early stopping of the tree’s growth, threshold values of stopping criteria will control the number of nodes. Finding a proper threshold value for a stopping criterion is one of the greatest challenges to be faced in FDT induction. In this paper, we propose a new… CONTINUE READING

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