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Article Dans Une Revue Safety Science Année : 2020

A new framework for multi-hazards risk aggregation

Résumé

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.
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Dates et versions

hal-02428501 , version 1 (06-01-2020)

Identifiants

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Tasneem Bani-Mustafa, Zhiguo Zeng, Enrico Zio, Dominique Vasseur. A new framework for multi-hazards risk aggregation. Safety Science, 2020, 121, pp.283-302. ⟨10.1016/j.ssci.2019.08.043⟩. ⟨hal-02428501⟩
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