A method for generating fuzzy rules from relational database systems for estimating null values

Intelligent Systems: Technology and Applications, Six Volume Set

Volumn , Issue , 2002, Pages IV-157-IV-179

  Chen, Shyi Ming ^a   Yeh, Ming Shiou ^b  

^a NATIONAL TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^b NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 30344440041     PISSN: None     EISSN: None     Source Type: Book    
DOI: None     Document Type: Chapter

References (22)

1. Berenji, H.R. and Khedkar, P., Learning and tuning fuzzy logic controllers through reinforcements, IEEE Trans. Neural Networks, 3(5), 724, 1992.
2. Chen, S.M., Using fuzzy reasoning techniques for fault diagnosis of the J-85 jet engines, Proceedings of the Third National Conference on Science and Technology of National Defence, Taoyuan, Taiwan, Republic of China, October, 29, 1994.
3. Chen, S.M. and Yeh, M.S., Generating fuzzy rules from relational database systems for estimating null values, Cybernetics Syst. Int. J., 28(8), 695, 1997.
4. Chen, S.M. and Lin, S.Y., A new method for constructing fuzzy decision trees and generating fuzzy classification rules from training examples, Cybernetics Syst. Int. J., 31(7), 763, 2000.
5. Chen, S.M., Lee, S.H., and Lee, C.H., Generating fuzzy rules from numerical data for handling fuzzy classification problems, Proceedings of the 1999 National Computer Symposium, Taipei, Taiwan, Republic of China, December, 336, 1999.
6. Chen, Y.J. and Chen, S.M., A new method to generate fuzzy rules for fuzzy classification systems, Proceedings of the 2000 Eighth National Conference on Fuzzy Theory and Its Applications, Taipei, Taiwan, Republic of China, December 2000.
7. Chang, C.H. and Chen, S.M., A new method to generate fuzzy rules from numerical data based on the exclusion of attribute terms, Proceedings of the 2000 International Computer Symposium:Workshop on Artificial Intelligence, Chiayi, Taiwan, Republic of China, December, 57, 2000.
8. Hart, A., The role of induction in knowledge elicitation, Expert Syst., 2(1), 24, 1985.
9. Hunt, E.B., Marin, J., and Stone, P.J., Experience in Induction, Academic Press, New York, 1966.
10. Kandel, A., Fuzzy Mathematical Techniques with Applications, Addison-Wesley, Reading, MA, 1986.
11. Kao, C.H. and Chen, S.M., A new method to generate fuzzy rules from training data containing noise for handling classification problems, Proceedings of the Fifth Conference on Artificial Intelligence and Applications, Taipei, Taiwan, Republic of China, November, 324, 2000.
12. Kaufmann, A. and Gupta, M.M., Fuzzy Mathematical Models in Engineering and Management Science, North-Holland, Amsterdam, 1988.
13. Quinlan, J.R., Discovering rules by induction from large collection of examples, in Expert Systems in the Micro Electronic Age, Michie, D., Ed., Edinburgh University Press, Edinburgh, 1979.
14. Quinlan, J.R., Induction of decision trees, Machine Learning, 1(1) 81, 1986.
15. Quinlan, J.R., Decision trees and decision making, IEEE Trans. Syst. Man Cybernetics, 20(2), 339, 1990.
16. Sudkamp, T. and Hammell, R.J., II, Interpolation, completion, and learning fuzzy rules, IEEE Trans. Syst. Man Cybernetics, 24(2), 332, 1994.
17. Wang, L.X. and Mendel, J.M., Generating fuzzy rules by learning from examples, IEEE Trans. Syst. Man Cybernetics, 22(6), 1414, 1992.
18. Wu, T.P. and Chen, S.M., A new method for constructing membership functions and fuzzy rules from training examples, IEEE Trans. Syst. Man Cybernetics Part B: Cybernetics, 29(1), 25, 1999.
19. Yasdi, R., Learning classification rules from database in the context of knowledge acquisition and representation, IEEE Trans. Knowledge Data Eng., 3(3), 293, 1991.
20. Yeh, M.S. and Chen, S.M., An algorithm for generating fuzzy rules from relational database systems, Proceedings of the 6th International Conference on Information Management, Taipei, Taiwan, Republic of China, May, 219, 1995.
21. Zadeh, L.A., Fuzzy sets, Inf. Control, 8, 338, 1965.
22. Zadeh, L.A., The concepts of a linguistic variable and its application to approximate reasoning (1), Inf. Sci., 8, 199, 1975.