A new framework for multi-hazards risk aggregation

作者: Tasneem Bani-Mustafa , Zhiguo Zeng , Enrico Zio , Dominique Vasseur

DOI: 10.1016/J.SSCI.2019.08.043

关键词:

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

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