A comparative study on heuristic algorithms for generating fuzzy decision trees

@article{Wang1999ACS,
  title={A comparative study on heuristic algorithms for generating fuzzy decision trees},
  author={Xizhao Wang and Daniel S. Yeung and Eric C. C. Tsang},
  journal={IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society},
  year={1999},
  volume={31 2},
  pages={
          215-26
        }
}
Fuzzy decision tree induction is an important way of learning from examples with fuzzy representation. Since the construction of optimal fuzzy decision tree is NP-hard, the research on heuristic algorithms is necessary. In this paper, three heuristic algorithms for generating fuzzy decision trees are analyzed and compared. One of them is proposed by the authors. The comparisons are twofold. One is the analytic comparison based on expanded attribute selection and reasoning mechanism; the other… CONTINUE READING
Highly Cited
This paper has 107 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 44 extracted citations

Efficient Skin Region Segmentation Using Low Complexity Fuzzy Decision Tree Model

2009 Annual IEEE India Conference • 2009
View 4 Excerpts
Method Support
Highly Influenced

Efficient general genre video abstraction scheme for embedded devices using pure audio cues

2009 7th International Conference on ICT and Knowledge Engineering • 2009
View 3 Excerpts
Highly Influenced

Neuro-fuzzy decision trees for content popularity model and multi-genre movie recommendation system over social network

TENCON 2009 - 2009 IEEE Region 10 Conference • 2009
View 3 Excerpts
Method Support
Highly Influenced

Efficient Fuzzy Rules For Classification

2006 International Workshop on Integrating AI and Data Mining • 2006
View 4 Excerpts
Method Support
Highly Influenced

Optimized Fuzzy Decision Tree Using Genetic Algorithm

View 4 Excerpts
Method Support
Highly Influenced

Improving the Learning Accuracy of Fuzzy Decision Trees by Direct Back Propagation

The 14th IEEE International Conference on Fuzzy Systems, 2005. FUZZ '05. • 2005
View 3 Excerpts
Highly Influenced

107 Citations

0510'00'04'09'14'19
Citations per Year
Semantic Scholar estimates that this publication has 107 citations based on the available data.

See our FAQ for additional information.