First International Conference on Availability, Reliability and Security (ARES'06) Bayesian Networks Implementation of the Dempster Shafer Theory to Model Reliability Uncertainty Vienna, Austria April 20-April 22 ISBN: 0-7695-2567-9
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ARES.2006.38
In many reliability studies based on data, reliability engineers face incompleteness and incoherency problems in the data. Probabilistic tools badly handle these kinds of problems thus, it is better to use formalism from the evidence theory. From our knowledge, there is a lack of industrial tools that implement this theory. In this paper, the implementation of the Dempster Shafer theory in a Bayesian Network tool is proposed in order to compute system reliability and manage epistemic uncertainty propagation. The basic concepts used are presented and some numerical experiments are made to show how uncertainty is propagated.
Citation:
Christophe SIMON, Philippe WEBER, "Bayesian Networks Implementation of the Dempster Shafer Theory to Model Reliability Uncertainty," ares, pp.788-793, First International Conference on Availability, Reliability and Security (ARES'06), 2006 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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