Fault tree uncertainty quantification using probabilities and belief structures on basic and non-basic events

Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS

Volumn 2005, Issue , 2005, Pages 65-68

  Sentz, Kari ^a   Wilson, Alyson ^a  

^a LOS ALAMOS NATIONAL LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA PROCESSING; PROBABILITY; UNCERTAIN SYSTEMS;

BELIEF STRUCTURES; DEMPSTER-SHAFER EVIDENCE THEORY; FAULT TREES; NON-BASIC EVENTS; UNCERTAINTY QUANTIFICATION;

TREES (MATHEMATICS);

EID: 33744978352     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NAFIPS.2005.1548509     Document Type: Conference Paper

References (6)

1. W. E. Vesely, F. F. Goldberg, N. H. Roberts, and D. F. Haasl, "Fault tree handbook," U. S. Nuclear Regulatory Commission, Tech. Rep. NUREG-0492, Jan. 1981.
2. M. Hamada, H. F. Martz, C. S. Reese, T. Graves, V. Johnson, and A. G. Wilson, "A fully Bayesian approach for combining multilevel failure information in fault tree quantification and optimal follow-on resource allocation," Reliability Engineering and System Safety, vol. 86, pp. 297-305, 2004.
3. R. P. Srivastava, P. P. Shenoy, and G. R. Shafer, "Propagating belief functions in AMD-trees," International Journal of Intelligent Systems, vol. 10, pp. 647-664, 1995.
4. G. Shafer, Mathematical theory of evidence. Princeton, NJ: Princeton University Press, 1976.
5. A. P. Dempster, "Upper and lower probabilities induced by multivalued mapping," The Annals of Statistics, vol. 28, pp. 325-339, 1967.
6. I. Kozine and Y. V. Filimonov, "Imprecise system reliability," International Journal of Systems Science.