Fuzzy decision trees: issues and methods

@article{Janikow1998FuzzyDT,
  title={Fuzzy decision trees: issues and methods},
  author={Cezary Z. Janikow},
  journal={IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society},
  year={1998},
  volume={28 1},
  pages={
          1-14
        }
}
Decision trees are one of the most popular choices for learning and reasoning from feature-based examples. They have undergone a number of alterations to deal with language and measurement uncertainties. We present another modification, aimed at combining symbolic decision trees with approximate reasoning offered by fuzzy representation. The intent is to exploit complementary advantages of both: popularity in applications to learning from examples, high knowledge comprehensibility of decision… CONTINUE READING

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