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	A traceable process to develop Bayesian networks from scarce data and expert judgment: a human reliability analysis application Podofillini, L., Reer, B., & Dang, V. N. (2023). A traceable process to develop Bayesian networks from scarce data and expert judgment: a human reliability analysis application. Reliability Engineering and System Safety, 230, 108903 (17 pp.). https://doi.org/10.1016/j.ress.2022.108903 Detailed Record Published Version
	Methods for building Conditional Probability Tables of Bayesian Belief Networks from limited judgment: An evaluation for Human Reliability Application Mkrtchyan, L., Podofillini, L., & Dang, V. N. (2016). Methods for building Conditional Probability Tables of Bayesian Belief Networks from limited judgment: An evaluation for Human Reliability Application. Reliability Engineering and System Safety, 151, 93-112. https://doi.org/10.1016/j.ress.2016.01.004 Detailed Record Published Version
	Comparing the treatment of uncertainty in Bayesian networks and fuzzy expert systems used for a human reliability analysis application Baraldi, P., Podofillini, L., Mkrtchyan, L., Zio, E., & Dang, V. N. (2015). Comparing the treatment of uncertainty in Bayesian networks and fuzzy expert systems used for a human reliability analysis application. Reliability Engineering and System Safety, 138, 176-193. https://doi.org/10.1016/j.ress.2015.01.016 Detailed Record Published Version
	Bayesian belief networks for human reliability analysis: a review of applications and gaps Mkrtchyan, L., Podofillini, L., & Dang, V. N. (2015). Bayesian belief networks for human reliability analysis: a review of applications and gaps. Reliability Engineering and System Safety, 139, 1-16. https://doi.org/10.1016/j.ress.2015.02.006 Detailed Record Published Version