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A new framework for multi-hazards risk aggregation
- Source :
- Safety Science, Safety Science, Elsevier, 2020, 121, pp.283-302. ⟨10.1016/j.ssci.2019.08.043⟩
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- International audience; 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.
- Subjects :
- [SPI.OTHER]Engineering Sciences [physics]/Other
Computer science
Process (engineering)
Quantitative risk assessment (QRA)
media_common.quotation_subject
0211 other engineering and technologies
Fidelity
02 engineering and technology
Multi-hazards risk aggregation (MHRA)
computer.software_genre
Strength of knowledge (SoK)
Risk-informed decision making
Dempster–Shafer theory
Nuclear power plants (NPP)
021105 building & construction
0501 psychology and cognitive sciences
Safety, Risk, Reliability and Quality
050107 human factors
media_common
Trustworthiness in risk assessment
Hierarchy (mathematics)
05 social sciences
Public Health, Environmental and Occupational Health
[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation
Hazard
Trustworthiness
Data mining
Risk assessment
Safety Research
Weighted arithmetic mean
computer
Subjects
Details
- ISSN :
- 09257535
- Volume :
- 121
- Database :
- OpenAIRE
- Journal :
- Safety Science
- Accession number :
- edsair.doi.dedup.....ffcc414831abff1d6417855c3d5d6886