In areas of risk assessment ranging from terrorism to health, safety, and the environment, authoritative guidance urges risk analysts to quantify and display their uncertainties about inputs that significantly affect the results of an analysis, including their uncertainties about subjective probabilities of events. Such “uncertainty characteri-zation ” is said to be an important part of fully and honestly informing decision makers about the estimates and uncertainties in analyses that support policy recommendations, enabling them to make better decisions. But is it? Characterization of uncertainties about probabilities often carries zero value of information and accomplishes nothing to improve risk-management decisions. Uncertainties about ...
Expert probability forecasts can be useful for decision making (§1). But levels of uncertainty escal...
The aim of this paper is to provide a conceptual basis for the systematic treatment of uncertainty i...
International audienceExplores methods for the representation and treatment of uncertainty in risk a...
A quantitative risk analysis (QRA) should provide a broad, informative and balanced picture of risk,...
Decision support models help structure and inform complex choices under uncertainty. Two classic mod...
International audienceThis article tries to clarify the potential role to be played by uncertainty t...
Master's thesis in Risk managementThe background for this thesis came from a belief that there might...
When dealing with a real world problem we can rarely avoid uncertainity. At the empirical level, unc...
One important question concerning a risk description is to what extent it should contain information...
Assessments of chemical health risks are performed by scientific experts. Their intended use is as b...
Probabilistic risk analysis aims to quantify the risk caused by high technology installations. Incre...
This article, authored by P.G. Moore for the Royal Statistical Society's website, provides well-defi...
Risk reduction means diminishing uncertainties and strengthening the knowledge. There are many ways ...
International audienceThe notion of uncertainty has been a controversial issue for a long time. In p...
A substantial literature on risk perception demonstrates the limits of human rationality, especially...
Expert probability forecasts can be useful for decision making (§1). But levels of uncertainty escal...
The aim of this paper is to provide a conceptual basis for the systematic treatment of uncertainty i...
International audienceExplores methods for the representation and treatment of uncertainty in risk a...
A quantitative risk analysis (QRA) should provide a broad, informative and balanced picture of risk,...
Decision support models help structure and inform complex choices under uncertainty. Two classic mod...
International audienceThis article tries to clarify the potential role to be played by uncertainty t...
Master's thesis in Risk managementThe background for this thesis came from a belief that there might...
When dealing with a real world problem we can rarely avoid uncertainity. At the empirical level, unc...
One important question concerning a risk description is to what extent it should contain information...
Assessments of chemical health risks are performed by scientific experts. Their intended use is as b...
Probabilistic risk analysis aims to quantify the risk caused by high technology installations. Incre...
This article, authored by P.G. Moore for the Royal Statistical Society's website, provides well-defi...
Risk reduction means diminishing uncertainties and strengthening the knowledge. There are many ways ...
International audienceThe notion of uncertainty has been a controversial issue for a long time. In p...
A substantial literature on risk perception demonstrates the limits of human rationality, especially...
Expert probability forecasts can be useful for decision making (§1). But levels of uncertainty escal...
The aim of this paper is to provide a conceptual basis for the systematic treatment of uncertainty i...
International audienceExplores methods for the representation and treatment of uncertainty in risk a...