Comparing the treatment of uncertainty in Bayesian networks and fuzzy expert systems used for a human reliability analysis application

  title={Comparing the treatment of uncertainty in Bayesian networks and fuzzy expert systems used for a human reliability analysis application},
  author={Piero Baraldi and Luca Podofillini and Lusine Mkrtchyan and Enrico Zio and Vinh N. Dang},
  journal={Rel. Eng. & Sys. Safety},
The use of expert systems can be helpful to improve the transparency and repeatability of assessments in areas of risk analysis with limited data available. In this field, human reliability analysis (HRA) is no exception, and, in particular, dependence analysis is an HRA task strongly based on analyst judgement. The analysis of dependence among Human Failure Events refers to the assessment of the effect of an earlier human failure on the probability of the subsequent ones. This paper analyses… CONTINUE READING


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Publications referenced by this paper.
Showing 1-10 of 44 references

Deriving causal Bayesian networks from Human Reliability Analysis data: A methodology and example model

K. Groth, A. Mosleh
Proc I. Mech E part O: Journal of Risk and Reliability • 2010
View 9 Excerpts
Highly Influenced

Using Ranked Nodes to Model Qualitative Judgments in Bayesian Networks

IEEE Transactions on Knowledge and Data Engineering • 2007
View 10 Excerpts
Highly Influenced

Foundations of risk analysis

T. Aven
Wiley, NJ • 2003
View 4 Excerpts
Highly Influenced

Uncertainty in probabilistic safety assessment

G. E. Apostolakis
Nuclear Engineering and Design, • 1989
View 4 Excerpts
Highly Influenced

Handbook of human reliability analysis with emphasis on nuclear power plant applications

A.D.Swain, H. E. Guttman
View 7 Excerpts
Highly Influenced

Uncertainty in Risk Assessment: The Representation and Treatment of Uncertainties by Probabilistic and Non-probabilistic Methods

T. Aven, P. Baraldi, R. Flage, E. Zio
John Wiley & Sons Inc • 2014
View 4 Excerpts
Highly Influenced

A Bayesian Network Model for Dependence Assessment in Human Reliability Analysis

P. Baraldi, M. Conti, +3 authors V. N. Dang
Proceedings of the European safety and reliability conference 2009, September 7-10 • 2009
View 4 Excerpts
Highly Influenced

Probabilistic and possibilistic treatment of epistemic uncertainties in fault tree analysis

R. Flage, P. Baraldi, E. Zio, T. Aven
Risk Analysis, • 2013
View 1 Excerpt

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