Fuzzy decision tree based on the important degree of fuzzy attribute

Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC

Volumn 1, Issue , 2008, Pages 511-516

  Wang, Xi Zhao ^a   Zhai, Jun Hai ^a   Zhang, Su Fang ^b  

^a HEBEI UNIVERSITY   (China)

^b Hebei Information Engineering School   (China)

Author keywords

Condition attribute; Decision attribute; Fuzzy attribute; Fuzzy decision tree; Important degree

Indexed keywords

CONTROL THEORY; CYBERNETICS; DECISION THEORY; DECISION TREES; LEARNING SYSTEMS; MATHEMATICAL MODELS; ROBOT LEARNING;

CONDITION ATTRIBUTE; DECISION ATTRIBUTE; FUZZY ATTRIBUTE; FUZZY DECISION TREE; IMPORTANT DEGREE;

DECISION MAKING;

EID: 58049114102     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLC.2008.4620458     Document Type: Conference Paper

References (14)

1. Tom M. Mitchell. Machine Learning, China Machine Press, 2003, 55-73.
2. Xizhao Wang, Bin Chen, Guoliang Qian, Feng Ye. On the optimization of fuzzy decision trees. Fuzzy Sets and Systems 112 (2000) 117-125.
3. Weber. Fuzzy-ID3: A class of methods for automatic knowledge acquisition. in 2nd International Conf. on Fuzzy Logic and Neural Networks, Iizuka, Japan, July 17-22, 1992, pp. 265-268.
4. Fayyad, U. and Irani, K., Multi-interval discretization of continuous-valued attributes for classification learning, Proc. 13th International Joint Conference on Artificial Intelligence, 1022-1029, 1993.
5. A. Berger, etal, A Maximum Entropy Approach to Natural Lan-guage Processing, Computational Linguistics, vol. 22, no. 1, 1996.
6. Zhou Ya-qian, Guo Yi-kun, HuangXuan-jiang, and Wu Li-de. Chinese and English Base NP Recognized by Maximum Entropy. Journal of Computer Research and Development. 40(3):440-446, 2003.
7. Lin, T.-S., Meador, J., Statistical Feature Extraction and Selection for IC Test Pattern Analysis, Circuits and systems, 1992, 391-394 vol 1.
8. Liu, H. and Setiono, R., Chi2: Feature selection and discretization of numeric attributes, Proc. IEEE 7th International Conference on Tools with Artificial Intelligence, 338-391, 1995.
9. Y. Y. Yao, Information granulation and rough set approximation, International Journal of, 2001, vol. 16, no. 1, pp. 87-104.
10. A. Chouchoulas, Incremental feature selection based on rough set theory, PhD Disseration of the University of Edinburgh, 2001.
11. M. Dash, H. Liu, Feature selection for classification, Intelligent Data Analysis, 1997, vol. 1, No. 3. 131-156.
12. R Jensen, Q Shen, Fuzzy-rough data reduction with ant colony optimization, Fuzzy Sets and Systems, 149(1995) 5-20.
13. A. De Luca, S. Termini, A definition of non-probabilitistic entropy in the setting of fuzzy theory. Inform. And Control, 20(1972) 301-312
14. Yufei Yuan, Michael J. Shaw, Induction of fuzzy decision trees, Fuzzy Sets and Systems, 69(1995) 125-139.