The main thrust of the Probabilistic Risk Assessment (PRA) model is to assess the spectrum possible scenarios (sequences of events) that can lead undesirable consequences. However, there is no guarantee that all possible scenarios have been identified and properly assessed. This lack of completeness introduces an uncertainty in the results and conclusions of the analysis. Even for scenarios, which have been identified, the event sequence and system logic models do not precisely represent reality. There are uncertainties introduced by the relative inadequacy of the conceptual models, the mathematical models, the numerical approximations, the coding errors and the computational limits.
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