A framework of fuzzy diagnosis

IEEE Transactions on Knowledge and Data Engineering

Volumn 16, Issue 12, 2004, Pages 1571-1582

  Wang, Huaiqing ^a   Zhang, Mingyi ^b   Xu, Dongming ^c   Zhang, Dan ^d  

^a CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^b GUIZHOU ACADEMY OF SCIENCES   (China)

^c UNIVERSITY OF QUEENSLAND   (Australia)

^d GUIZHOU UNIVERSITY OF FINANCE AND ECONOMICS   (China)

Author keywords

Clause style fuzzy theories; Fault diagnosis; Fuzzy diagnosis; Fuzzy truth function logic; Knowledge representation; Uncertainty reasoning

Indexed keywords

DECISION THEORY; FORMAL LOGIC; INTELLIGENT CONTROL; KNOWLEDGE REPRESENTATION; MATHEMATICAL MODELS; PROBLEM SOLVING;

CLAUSE-FUZZY THEORIES; FAULT DIAGNOSIS; FUZZY DIAGNOSIS; FUZZY TRUTH FUNCTION LOGIC; UNCERTAINTY REASONING;

FUZZY CONTROL;

EID: 10944235394     PISSN: 10414347     EISSN: None     Source Type: Journal    
DOI: 10.1109/TKDE.2004.80     Document Type: Article

References (29)

1. R. Reiter, "A Theory of Diagnosis from First Principle," Artificial Intelligence, vol. 32, no. 1, pp. 57-95, 1987.
2. J. de Kleer and B.C. Williams, "Diagnosing Multiple Faults," Artificial Intelligence, vol. 32, no. 1, pp. 97-130, 1987.
3. J. de Kleer et al., "Characterizing Diagnoses and Systems," Artificial Intelligence, vol. 56, pp. 192-222, 1992.
4. P.M. Frank and B. Koppen-Seliger, "New Developments Using AI in Fault Diagnosis," Eng. Applications of Artificial Intelligence, vol. 10, no. 1, pp. 3-14, 1997.
5. P.M. Frank and B. Koppen-Seliger, "Fuzzy Logic and Neural Network Applications to Fault Diagnosis," Int'l J. Approximate Reasoning, vol. 16, pp. 67-88, 1996.
6. Rule-Based Expert Systems: The MYCIN Experiments of the Stanford Heuristic Programming Project, B.G. Buchanan and E.H. Shortliffe, eds., Reading, Mass.: Addison-Wesley, 1984.
7. D.L. Poole et al., "Theorist: A Logic Reasoning System for Defaults and Diagnosis," The Knowledge Frontier: Essays in the Representation of Knowledge, N. Cereone and G. McCalla, eds., pp. 331-352, Springer Verlag, 1987.
8. D. Poole, "Representing Knowledge for Logic-Based Diagnosis," Proc. Int'l Conf. Fifth Generation Computing Systems, pp. 1282-1290, 1988.
9. D. Poole, "Explanation and Predication: An Architecture for Default and Abductive Reasoning," Technical Report 89-4, Computer Science U.B.C., 1989.
10. B. El Ayeb et al., "A New Diagnosis Approach by Deduction and Abduction," Proc. Int'l Workshop Expert Systems in Eng., 1990.
11. C. Boutillier, "Abduction to Plausible Causes: An Event Based Model of Belief Update," Artificial Intelligence, vol. 83, pp. 143-166, 1996.
12. C. Boutillier and V. Becher, "Abduction as Belief Revision," Artificial Intelligence, vol. 77, pp. 43-94, 1995.
13. R. Reggia, "Diagnostic Expert System Based on a Set Covering Model," Int'l J. Man Machine Studies, vol. 19, no. 5, pp. 437-460, 1983.
14. T. Eiter et al., "Semantics and Complexity of Abduction from Default Theories," Artificial Intelligence, vol. 90, pp. 177-223, 1990.
15. D. Poole, "Normality and Faults in Logic-Based Diagnosis," Proc. 11th Int'l Joint Conf. Artificial Intelligence (IJCAI-89), pp. 1304-1310, 1989.
16. L. Console et al., "A Theory of Diagnosis for Incomplete Causal Models," Proc. 11th Int'l Joint Conf. Artificial Intelligence (IJCAI-89), pp. 1311-1317, 1989.
17. P. Struss and O. Dressler, "Physical Negation - Integrating Fault Models into General Diagnostic Engine," Proc. Int'l Joint Conf. Artificial Intelligence (IJCAI-89), pp. 1318-1323, 1989.
18. E. Naito et al., "A Proposal of a Fuzzy Connective with Learning Function," Fuzziness Database Management Systems, P. Bosc and J. Kaczprizk, eds., pp. 345-364, 1995.
19. L.A. Zadeh, "Fuzzy Sets," Inform. and Control, vol. 8, pp. 338-353, 1965.
20. L.I. Kuncheva and F. Steimann, "Fuzzy Diagnosis," Artificial Intelligence in Medicine, vol. 16, pp. 121-128, 1999.
21. K. Yamada and M. Mukaidono, "Fuzzy Abduction Based on Lukasiewicz Infinite-Valued Logic," Proc. Fuzzy-IEEE/IFES'95, pp. 343-350, 1995.
22. N. Sano and R. Takahashi, "Natural Language Input for Fuzzy Diagnosis," Advances in Soft Computing - Fuzzy Control: Theory and Practice, R. Hampel et al., eds., pp. 265-273, 2000.
23. N. Sano and R. Takahashi, "Solution on Fuzzy Diagnosis by Inverse Process," Proc. Sixth Zittau Fuzzy-Colloquium, pp. 7-12, 1998.
24. U.M. Isermann, "Design of a Fuzzy-Logic Based Diagnostic Model for Technical Processes," Fuzzy Sets and Systems, vol. 58, no. 3, pp. 249-271, 1993.
25. P. Vojtas, "Fuzzy Logic Programming," Fuzzy Sets and Systems, vol. 124, pp. 361-370, 2001.
26. G. Gottlob and Z. Ming, "Cumulative Default Logic: Characterization, Algorithms, and Complexity," Artificial Intelligence, vol. 69, pp. 329-345, 1994.
27. J.W. Lloyd, Foundation of Logic Programming. Springer, 1987.
28. P. Hajek, Metamathematics of Fuzzy Logic. Kluwer, 1998.
29. D. Xu et al., "Intelligent Student Profiling with Fuzzy Models," Proc. 35th Hawaii Int'l Conf. System Science (HICSS '35), 2002. (CD-ROM.)