This paper discusses the challenges involved in the representation and treatment of uncertainties in risk assessment, taking the point of view of its use in support to decision making. Two main issues are addressed: (1) how to faithfully represent and express the knowledge available to best support the decision making and (2) how to best inform the decision maker. A general risk-uncertainty framework is presented which provides definitions and interpretations of the key concepts introduced. The framework covers probability theory as well as alternative representations of uncertainty, including interval probability, possibility and evidence theory
Models for the assessment of the risk of complex engineering systems are affected by uncertainties d...
International audienceThis paper discusses an approach for treating model uncertainties in relation ...
Foundations of Risk Analysis presents the issues core to risk analysis - understanding what risk mea...
This paper discusses the challenges involved in the representation and treatment of uncertainties in...
International audienceExplores methods for the representation and treatment of uncertainty in risk a...
An important issue in risk analysis is the distinction between epistemic and aleatory uncertainties....
A quantitative risk analysis (QRA) should provide a broad, informative and balanced picture of risk,...
Probabilistic risk analysis aims to quantify the risk caused by high technology installations. Incre...
Uncertainty in situations involving risk is frequently modelled by assuming a plausible form of prob...
Assessments of chemical health risks are performed by scientific experts. Their intended use is as b...
Decision support models help structure and inform complex choices under uncertainty. Two classic mod...
International audienceModels for the assessment of the risk of complex engineering systems are affec...
International audienceQuantitative risk analysis (QRA) is a fundamental part of the decision-making ...
Models for the assessment of the risk of complex engineering systems are affected by uncertainties d...
International audienceThis paper discusses an approach for treating model uncertainties in relation ...
Foundations of Risk Analysis presents the issues core to risk analysis - understanding what risk mea...
This paper discusses the challenges involved in the representation and treatment of uncertainties in...
International audienceExplores methods for the representation and treatment of uncertainty in risk a...
An important issue in risk analysis is the distinction between epistemic and aleatory uncertainties....
A quantitative risk analysis (QRA) should provide a broad, informative and balanced picture of risk,...
Probabilistic risk analysis aims to quantify the risk caused by high technology installations. Incre...
Uncertainty in situations involving risk is frequently modelled by assuming a plausible form of prob...
Assessments of chemical health risks are performed by scientific experts. Their intended use is as b...
Decision support models help structure and inform complex choices under uncertainty. Two classic mod...
International audienceModels for the assessment of the risk of complex engineering systems are affec...
International audienceQuantitative risk analysis (QRA) is a fundamental part of the decision-making ...
Models for the assessment of the risk of complex engineering systems are affected by uncertainties d...
International audienceThis paper discusses an approach for treating model uncertainties in relation ...
Foundations of Risk Analysis presents the issues core to risk analysis - understanding what risk mea...