Uncertainty and sensitivity analysis of risk assessment models, 3; A Comparison of several uncertainty importance measures for ranking influential input parameters of risk assessment models

Liu, Q.; Homma, Toshimitsu; Hato, Shinji

When the risk information obtained from the PSA study of nuclear power plants is to be used for safety-related decision making, it is necessary to reduce the uncertainty in the risk. Therefore, it is necessary to identify the influential components that contribute to this uncertainty. In this work, we applied several uncertainty importance measures (including the measures proposed by the authors) to a risk assessment model and ranked the importance of each input parameter. It is found that although the ranking orders of the input parameters with regards to these measures are a bit different, the use of several or more importance measures can increase confidence in the ranking of key input parameters.