Engineering system safety analysis and synthesis using the fuzzy rule-based evidential reasoning approach

Quality and Reliability Engineering International

Volumn 21, Issue 4, 2005, Pages 387-411

  Liu, Jun ^a   Yang, Jian Bo ^a   Wang, Jin ^b   Sii, How Sing ^b  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

^b LIVERPOOL JOHN MOORES UNIVERSITY   (United Kingdom)

Author keywords

Decision making; Design evaluation; Evidential reasoning; Fuzzy rule base; Linguistic variable; Maritime safety based decision making; Safety modelling

Indexed keywords

ACCIDENT PREVENTION; DECISION MAKING; EVALUATION; FUZZY CONTROL; KNOWLEDGE BASED SYSTEMS; PARAMETER ESTIMATION; PRODUCT DESIGN; SYNTHESIS (CHEMICAL);

DESIGN EVALUATION; EVIDENTIAL REASONING; FUZZY RULE BASE; LINGUISTIC VARIABLES; MARITIME-BASED DECISION MAKING; SAFETY MODELLING;

SYSTEMS ENGINEERING;

EID: 20444377793     PISSN: 07488017     EISSN: None     Source Type: Journal    
DOI: 10.1002/qre.668     Document Type: Article

References (46)

1. Wang J, Ruston T. Professional Safety: A Journal of American Society of Safety Engineers 1997; 42(1):23-29.
2. Binaghi E, Madella P. Fuzzy Dempster-Shafer reasoning for rule-based classifiers. International Journal of Intelligent Systems 1999; 14:559-583.
3. Wang J, Yang JB, Sen P, Multi-person and multi-attribute design evaluations using evidential reasoning based on subjective safety and cost analyses. Reliability Engineering and System Safety 1996; 52(2):113-129.
4. Zadeh LA. Fuzzy sets. Information and Control 1965; 8:338-353.
5. Zadeh LA. The concept of a linguistic variable and its applications to approximate reasoning. Part I. Information Sciences 1975; 8:199-249
6. Zadeh LA. The concept of a linguistic variable and its applications to approximate reasoning. Pan II. Information Sciences 1975; 8:301-357
7. Zadeh LA. The concept of a linguistic variable and its applications to approximate reasoning. Part III. Information Sciences 1975; 9:43-80.
8. Zadeh LA. Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets and Systems 1978; 1(1):3-28.
9. Karwowski W, Mital A. Potential applications of fuzzy sets in industrial safety engineering. Fuzzy Sets and Systems 1986; 19:105-120.
10. Keller AA, Kara-Zaitri C. Further applications of fuzzy logic to reliability assessment and safety analysis. Microelectronics and Reliability 1989; 29:399-404.
11. Duckstein L. Elements of fuzzy set analysis and fuzzy risk. Decision Support Systems in Water Resources Management, Nachtnebel HP (ed.). UNESCO Press: Paris, 1994; 410-430.
12. Bell PM, Badiru AB. Fuzzy modelling and analytic hierarchy processing to quantify risk levels associated with occupational injuries - Part I: The development of fuzzy-linguistic risk levels. IEEE Transactions on Fuzzy Systems 1996; 4(2):124-131.
13. Bowles JB, Pelaez CE. Fuzzy logic prioritisation of failures in a system failure mode, effects and criticality analysis. Reliability Engineering and System Safety 1995; 50:203-213.
14. An M, Wang J, Ruxton T. The development of fuzzy linguistic risk levels for risk analysis of offshore engineering products using approximate reasoning approach. Proceedings of OMAE 2000, 19th International Conference on Offshore Mechanics and Arctic Engineering, 14-17 February, New Orleans, LA, 2000.
15. Wang J, Yang JB, Sen P. Safety analysis and synthesis using fuzzy set modelling and evidential reasoning. Reliability Engineering and System Safety 1995; 47(3):103-118.
16. Wang J. A subjective methodology for safety analysis of safety requirements specifications. IEEE Transactions on Fuzzy Systems 1997; 5(3):418-430.
17. Sii HS, Ruxton T, Wang J. Novel risk assessment techniques for maritime safety management system. International Journal of Quality and Reliability Management 2001; 18(8):982-999.
18. Su HS, Wang J, Ruxton T. A fuzzy-logic-based approach to subjective safety modelling for maritime products. Journal of UK Safety and Reliability Society 2001; 21(2):65-79.
19. Sii HS, Ruxton T, Wang J. A synthesis using fuzzy set theory and Dempster-Shafer based approach to compromise decision making with multiple attribute applied to risk control options selection. Proceedings of the Institution of Mechanical Engineers Part E, IMechE Journal of Process Mechanical Engineering 2001; 212:251-261.
20. Dempster AP. A generalization of Bayesian inference. Journal of the Royal Statistical Society, Series B 1968; 30:205-247.
21. Shafer G. A Mathematical Theory of Evidence. Princeton University Press: Princeton, NJ, 1976.
22. Smets P. Belief function. Non-Standard Logics for Automated Reasoning, Smet P, Mamdani EH, Dubois D, Prade H (eds.). Academic Press: London, 1988; 253-277.
23. Yager RR, Kacprzyk J, Fedrizzi M. Advances in the Dempster-Shafer Theory of Evidence. Wiley: New York, 1994.
24. Pearl J. Probabilistic Reasoning in Intelligent Systems. Morgan Kaufmann: San Mateo, CA, 1988.
25. Yang JB, Singh MG. An evidential reasoning approach for multiple attribute decision making with uncertainty. IEEE Transactions on Systems, Man, and Cybernetics 1994; 24(1):1-18.
26. Yang JB, Sen P. A general multi-level evaluation process for hybrid MADM with uncertainty. IEEE Transactions on Systems, Man, and Cybernetics 1994; 24(10):1458-1473.
27. Yang JB, Sen P. Multiple attribute design evaluation of large engineering products using the evidential reasoning approach. Journal of Engineering Design 1997; 8(3):211-230.
28. Yang JB. Rule and utility based evidential reasoning approach for multi-attribute decision analysis under uncertainties. European Journal of Operational Research 2001; 131:31-61.
29. Yang JB, Xu DL. On the evidential reasoning algorithm for multiple attribute decision analysis under uncertainty. IEEE Transactions on Systems, Man, and Cybernetics Part A: Systems and Humans 2002; 32(3):289-304.
30. Yang JB, Xu DL. Nonlinear information aggregation via evidential reasoning in multi-attribute decision analysis under uncertainty. IEEE Transactions on Systems, Man, and Cybernetics Part A: Systems and Humans 2002; 32(3):376-393.
31. Liu J, Yang JB, Wang J, Sii HS. Review of uncertainty reasoning approaches as guidance for maritime and offshore safety-based assessment. Journal of the UK Safety and Reliability Society 2003; 23(1):63-80.
32. Ishizuka M, Fu KS, Ya JTP. A rule-based inference with fuzzy sets for structural damage assessment. Approximate Reasoning in Decision Analysis, Gupta MM, Sanchez E (eds.). North-Holland: Amsterdam, 1982; 261-268.
33. Ishizuka M, Fu KS, Ya JTP. Inference procedure under uncertainty for the problem-reduction method. Information Sciences 1982; 28:179-206.
34. Ogawa H, Fu KS, Yao JTP. An inexact inference for damage assessment of existing structures. International Journal of Man-Machine Studies 1985; 22:295-306.
35. Yager RR. Generalized probabilities of fuzzy events from belief structures. Information Science 1982; 28:45-62.
36. Yager RR, Filev DP. Including probabilistic uncertainty in fuzzy logic controller modeling using Dempster-Shafer theory. IEEE Transactions on Systems, Man and Cybernetics 1995; 25:1221-1230.
37. Chen L-H. An extended rule-based inference for general decision-making problems. Information Sciences 1997; 102:247-261.
38. Yang JB, Liu J, Wang J, Su HS. A generic rule-base inference methodology using the evidential reasoning approach-RIMER. IEEE Transactions on Systems, Man, and Cybernetics (in press).
39. Sii HS, Wang J. Safety assessment of FPSOs - the process of modelling system safety and case studies. Report of the project - 'The Application of Approximate Reasoning Methodologies to Offshore Engineering Design' (EPSRC GR/R30624 and GR/R32413). Liverpool John Moores University, U.K., 2002.
40. Schmucker KJ. Fuzzy Sets, Natural Language Computations, and Risk Analysis. Computer Science Press: Rockville, MD, 1984.
41. Cox ED. The Fuzzy Systems Handbook: A Practitioner's Guide to Building, Using, and Maintaining Fuzzy Systems (2nd edn). Academic Press: New York, 1998.
42. Wang LX. A Course in Fuzzy Systems and Control. Prentice-Hall: Englewood, Cliffs, NJ, 1997.
43. Zimmerman HJ. Fuzzy Set Theory and Its Application. Kluwer: Norwell, MA, 1991.
44. McCaul JR. Special report - floating production systems. Oil and Gas Journal 2001; (June); 11.
45. Chen H, Moan T. Collision risk analysis of FPSO-tanker offloading operation. 21st International Conference on Offshore Mechanics and Arctic Engineering, 23-28 June 2002, University of Oslo, Bindern, Oslo, Norway.
46. Yang JB, Xu DL. Intelligent Decision System via Evidential Reasoning, version 1.1. IDSL: Cheshire, U.K., 1999.