Add to ORKGThis paper presents a work on the study of importance measures in presence of uncertainties originating from the lack of knowledge and information on the system (epistemic uncertainties). A criterion is proposed for ranking the risk contributors in presence of uncertainties described by probability density functions
A quantitative risk analysis (QRA) should provide a broad, informative and balanced picture of risk,...
Uncertainty in parameters is present in many risk assessment problems and leads to uncertainty in mo...
Risk has become one of the main topics in fields as diverse as engineering, medicine and economics, ...
For structural systems with both epistemic and aleatory uncertainties, research on quantifying the c...
Importance Measures (IMs) aim at quantifying the contribution of components to the system performanc...
Risk or Reliability Achievement Worth (RAW) is one of the most widely employed importance measures. ...
AbstractFor structural systems with both epistemic and aleatory uncertainties, research on quantifyi...
This chapter discusses the class of moment independent importance measures. This class comprises den...
In this paper, overviewing the previous studies of importance measure of components in a system, we ...
International audienceThe notion of uncertainty has been a controversial issue for a long time. In p...
This unique treatment systematically interprets a spectrum of importance measures to provide a compr...
Uncertainty importance measures are quantitative tools aiming at identifying the contribution of un...
In condition of uncertainty regarding a random phenomenon, particularly in decision making and risk ...
An important issue in risk analysis is the distinction between epistemic and aleatory uncertainties....
International audienceUncertainty importance measures typically reflect the degree to which uncertai...
A quantitative risk analysis (QRA) should provide a broad, informative and balanced picture of risk,...
Uncertainty in parameters is present in many risk assessment problems and leads to uncertainty in mo...
Risk has become one of the main topics in fields as diverse as engineering, medicine and economics, ...
For structural systems with both epistemic and aleatory uncertainties, research on quantifying the c...
Importance Measures (IMs) aim at quantifying the contribution of components to the system performanc...
Risk or Reliability Achievement Worth (RAW) is one of the most widely employed importance measures. ...
AbstractFor structural systems with both epistemic and aleatory uncertainties, research on quantifyi...
This chapter discusses the class of moment independent importance measures. This class comprises den...
In this paper, overviewing the previous studies of importance measure of components in a system, we ...
International audienceThe notion of uncertainty has been a controversial issue for a long time. In p...
This unique treatment systematically interprets a spectrum of importance measures to provide a compr...
Uncertainty importance measures are quantitative tools aiming at identifying the contribution of un...
In condition of uncertainty regarding a random phenomenon, particularly in decision making and risk ...
An important issue in risk analysis is the distinction between epistemic and aleatory uncertainties....
International audienceUncertainty importance measures typically reflect the degree to which uncertai...
A quantitative risk analysis (QRA) should provide a broad, informative and balanced picture of risk,...
Uncertainty in parameters is present in many risk assessment problems and leads to uncertainty in mo...
Risk has become one of the main topics in fields as diverse as engineering, medicine and economics, ...