The key to an ultimately useful risk assessment methodology is ease of use in the face of data limitations, production of reasonable predictions that fit available data and (in the absence of data) are consistent with expert opinion, expandability as more data become available, and integration into existing decision making strategies. It is essential that any risk assessment methodology is streamlined and user-friendly while recognizing uncertainty in the system. The methodology proposed here is designed to take risk assessors through the process of a risk assessment, highlighting the deficiencies that may exist, but still allowing a final assessment of risk. Once a level of risk has been assigned, risk managers can determine the appropriate level of mitigation and/or monitoring that can reduce that risk to a level that is acceptable to the regulating authority and the operator.
Link To Publication
Some links to publications are behind pay-walls and hence might not be readily accessible to the public