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System safety assessment under epistemic uncertainty: Using imprecise probabilities in Bayesian network
2019
Safety Science
System safety and reliability assessment relies on historical data and experts opinion for estimating the required failure probabilities. When data comes from different sources, be it different databases or subject domain experts, the estimation of accurate probabilities would be very challenging, if not impossible, and subject to high epistemic uncertainty. In such cases, the use of imprecise probabilities to reflect the incomplete knowledge of analysts and their epistemic uncertainty is
doi:10.1016/j.ssci.2019.03.008
fatcat:hbtzoe3jojgybo4ysiqbfsot5i