Title :
Fault tree uncertainty quantification using probabilities and belief structures on basic and non-basic events
Author :
Sentz, Kari ; Wilson, Alyson
Author_Institution :
Stat. Sci. Group, Los Alamos Nat. Lab., NM, USA
Abstract :
In the vast majority of the literature on fault trees, information is only provided on the basic events and is described probabilistically. In this paper, we extend this in two ways: we consider information at both basic and non-basic events, and we describe our uncertainties about this information in terms of both probability and Dempster-Shafer evidence theory. We develop these extensions for the AND gate.
Keywords :
fault trees; inference mechanisms; probability; uncertainty handling; AND gate; Dempster-Shafer evidence theory; belief structures; fault tree uncertainty quantification; probability; Bayesian methods; Data analysis; Failure analysis; Fault diagnosis; Fault trees; Laboratories; Probability; Risk analysis; USA Councils; Uncertainty;
Conference_Titel :
Fuzzy Information Processing Society, 2005. NAFIPS 2005. Annual Meeting of the North American
Print_ISBN :
0-7803-9187-X
DOI :
10.1109/NAFIPS.2005.1548509
