Citation

Bani-Mustafa T, Zeng Z, Zio E, Vasseur D. Safety Sci. 2020; 121: 283-302.

Copyright

(Copyright © 2020, Elsevier Publishing)

DOI

10.1016/j.ssci.2019.08.043

PMID

unavailable

Abstract

In this paper, we develop a new method for Multi-Hazards Risk Aggregation (MHRA). A hierarchical framework is first developed for evaluating the trustworthiness of the risk assessment. The evaluation is based on two main attributes (criteria), i.e., the strength of knowledge supporting the assessment and the fidelity of the risk assessment model. These two attributes are further broken down into sub-attributes and, finally, leaf attributes. The trustworthiness is calculated using a weighted average of the leaf attributes, in which the weights are calculated using the Dempster Shafer Theory-Analytical Hierarchy Process (DST-AHP). Risk aggregation is, then, performed by a "weighted posterior" method, considering the level of trustworthiness. An application to the risk aggregation of two hazard groups in Nuclear Power Plants (NPP) is illustrated.

Language: en

Keywords

Multi-hazards risk aggregation (MHRA); Nuclear power plants (NPP); Quantitative risk assessment (QRA); Risk-informed decision making; Strength of knowledge (SoK); Trustworthiness in risk assessment