Handling interaction in fuzzy production rule reasoning

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 34, Issue 5, 2004, Pages 1979-1987

  Yeung, Daniel S ^a   Wang, Xi Zhao ^b   Tsang, Eric C C ^a  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^b HEBEI UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; FUZZY SETS; INTEGRAL EQUATIONS; MATHEMATICAL MODELS;

APPROXIMATE REASONING; FUZZY INTEGRALS; FUZZY MEASURES; FUZZY PRODUCTION RULES; HANDLING INTERACTION; RULE BASED REASONING;

EXPERT SYSTEMS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; DECISION SUPPORT SYSTEM; EVALUATION; EXPERT SYSTEM; FUZZY LOGIC; HUMAN; METHODOLOGY; VALIDATION STUDY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DECISION SUPPORT SYSTEMS, CLINICAL; DECISION SUPPORT TECHNIQUES; DIAGNOSIS, COMPUTER-ASSISTED; EXPERT SYSTEMS; FUZZY LOGIC; HUMANS; PATTERN RECOGNITION, AUTOMATED;

EID: 4844229545     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2004.831460     Document Type: Article

References (30)

1. B. G. Buchanan and E. H. Shortliffe, Rule-Based Expert Systems, The MYCIN Experiments of the Stanford Heuristic Programming Projects. Reading, MA: Addison-Wesley, 1984.
2. S. M. Chen, J. S. Ke, and J. F. Chang, "Knowledge representation using fuzzy Petri nets," IEEE Trans. Knowledge Data Eng., vol. 2, pp. 311-319, Sept. 1990.
3. T.-Y. Chen, J.-C. Wang, and G.-H. Tzeng, "Identification of general fuzzy measures by genetic algorithms based on partial information," IEEE Trans. Syst., Man, Cybern. B, vol. 30, pp. 517-528, Aug. 2000.
4. S. M. Chen, "Weighted fuzzy reasoning using weighted fuzzy Petri nets," IEEE Trans. Knowledge Data Eng., vol. 14, pp. 386-397, Feb. 2002.
5. D. Denneberg and M. Grabisch, "Interaction transform of set functions over a finite set," Inform. Sci., vol. 121, pp. 149-170, 1999.
6. The Handbooks of Fuzzy Sets Vol 7: Fundamentals of Fuzzy Sets, D. Dubois and H. Prade, Eds., Kluwer, Boston, MA, 2000.
7. M. Grabisch and J. M. Nicols, "Classification by fuzzy integrals - Performance and tests," Fuzzy Sets Syst., vol. 65, pp. 255-271, 1994.
8. M. Grabisch, "The representation of importance and interaction of features by fuzzy measures," Pattern Recognit. Lett., vol. 17, pp. 567-575, 1996.
9. M. Grabisch, "The application of fuzzy integrals in multi-criteria decision making," Eur. J. Oper. Res., vol. 89, pp. 445-456, 1996.
10. M. Grabisch, "Fuzzy integral for classification and feature extraction," in Fuzzy Measures and Integrals, M. Grabisch, T. Murofushi, and M. Sugeno, Eds. Berlin, Germany: Physica-Verlag, 2000, pp. 416-434.
11. M. Grabisch, C. Labreuche, and J. Vansnick, "On the extension of Pseudo-Boolean functions for the aggregation of interacting bipolar criteria," Eur. J. Oper. Res., vol. 148, pp. 28-47, 2003.
12. L. K. Hyung, Y. S. Song, and K. M. Lee, "Similarity measure between sets and between elements," Fuzzy Sets Syst., vol. 62, pp. 291-293, 1994.
13. G. J. Klir, W. Zhenyuan, and D. Harmanec, "Constructing fuzzy measures in expert systems," Fuzzy Sets Syst., vol. 92, no. 2, pp. 251-264, 1997.
14. T. Kohonen, Self-Organization and Associate Memory. Berlin, Germany: Springer, 1988.
15. J. L. Marichal, "An axiomatic approach of the discrete Choquet integral as a tool to aggregate interacting criteria," IEEE Trans. Fuzzy Syst., vol. 8, pp. 800-807, Dec. 2000.
16. J. L. Marichal, "An axiomatic approach of the discrete Sugeno integral as a tool to aggregate interacting criteria in qualitative framework," IEEE Trans. Fuzzy Syst., vol. 9, pp. 164-172, Feb. 2001.
17. K. Nozaki, H. Ishibuchi, and H. Tanaka, "A simple but powerful heuristic method for generating fuzzy rules from numerical data," Fuzzy Sets Syst., vol. 86, pp. 251-270, 1997.
18. S. K. Pal, "Fuzzy set theoretic measures for automatic feature evaluation," Inform. Sci., vol. 64, pp. 165-179, 1992.
19. C. P. Pappis and N. I. Karacapilidis, "A comparative assessment of measures of similarity of fuzzy sets," Fuzzy Sets Syst., vol. 56, pp. 171-174, 1993.
20. I. B. Turksen and Z. Zhong, "An approximate analogical reasoning approach based on similarity measures," IEEE Trans. Syst., Man, Cybern., vol. 18, pp. 1049-1056, Nov./Dec. 1988.
21. UCI Repository of Machine Learning Databases and Domain Theories [Online]. Available: ftp://ftp.ics.uci.edu/pub/machine-learning-databases.
22. Z. Wang and G. J. Klir, Fuzzy Measure Theory. New York: Plenum, 1992.
23. J. Wang and Z. Wang, "Using neural networks to determine Sugeno measures by statistics," Neural Networks, vol. 10, no. 1, pp. 183-195, 1997.
24. W. Wang, Z. Wang, and G. J. Klir, "Genetic algorithms for determining fuzzy measure from data," J. Intell. Fuzzy Syst., vol. 6, no. 2, pp. 171-183, 1998.
25. Z. Wang, K.-S. Leung, and J. Wang, "A genetic algorithm for determining nonadditive set functions in information fusion," Fuzzy Sets Syst., vol. 102, no. 3, pp. 463-469, 1999.
26. X. Z. Wang, E. C. C. Tsang, and D. S. Yeung, "A comparative study on heuristic algorithms for generating fuzzy decision trees," IEEE Trans. Syst., Man, Cybern. B, vol. 31, pp. 215-226, Apr. 2001.
27. D. S. Yeung and E. C. C. Tsang, "Weighted fuzzy production rules," Fuzzy Sets Syst., vol. 88, pp. 299-313, 1997.
28. D. S. Yeung, "A comparative study on similarity-based fuzzy reasoning methods," IEEE Trans. Syst., Man, Cybern., vol. 27, pp. 216-226, Apr. 1997.
29. D. S. Yeung, "A multilevel weighted fuzzy reasoning algorithm for expert systems," IEEE Trans. Syst., Man, Cybern., vol. 28, pp. 149-158, Apr. 1998.
30. Y. Yuan and M. J. Shaw, "Induction of fuzzy decision trees," Fuzzy Sets Syst., vol. 69, pp. 125-139, 1995.