Abstract
Uncertainties related to a risk assessment significantly affect the confidence in the risk results and recommendations obtained. Uncertainties are dependent on the complexity and understanding of the causal and/or logical relationships of quantities and/or events of the real world, and their roles in the decision-making process depend on the adopted decision rules and criteria.
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References
Gelman A, Carlin JB, Stern HS, Rubin DB. Bayesian Data Analysis. Chapman & Hall, London, 1995.
Lindley D. The philosophy of statistics. The Statistician 2000; 49(3): 293–337.
Zio, E., Apostolakis, G. Two methods for the structured assessment of model uncertainty by experts in performance assessments of radioactive waste repositories, Reliability Engineering and System Safety 1996; 54(2-3): 225–241.
Rosqvist, T., Tuominen, R. Qualification of Formal Safety Assessment — An Exploratory Study. Safety Science 2004; 42(2): 99–120.
Nielsen T. Aven T. Models and model uncertainty in the context of risk analysis. Reliability Engineering and System Safety 2003; 79(3): 309–317.
United States Nuclear Regulatory Commission (USNRC). An Approach for Plant-specific, Risk-Informed Decisions on Plant-specific Changes to the Licensing Basis, Regulatory Guide 1.174, Washington, D.C., 1998
Melchers RE. On the ALARP approach to risk management. Reliability Engineering & System Safety 2001; 71(2): 201–208.
Hattis D, Anderson E. What should be the implications of uncertainty, variability, and the inherent ‘biases’/‘conservatism’ for risk management decision-making? Risk Analysis 1999; 19(1): 95–107.
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© 2004 Springer-Verlag London
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Rosqvist, T., Tuominen, R. (2004). Precautionary Risk Decision-Making. In: Spitzer, C., Schmocker, U., Dang, V.N. (eds) Probabilistic Safety Assessment and Management. Springer, London. https://doi.org/10.1007/978-0-85729-410-4_92
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DOI: https://doi.org/10.1007/978-0-85729-410-4_92
Publisher Name: Springer, London
Print ISBN: 978-1-4471-1057-6
Online ISBN: 978-0-85729-410-4
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