Add to ORKGNowadays, the need to treat both epistemic and aleatory uncertainty in a unified framework is well recognized [1]. One method to do so is to mix probabilistic convolution (for aleatory uncertainty) and fuzzy calculus (for epistemic uncertainty). Existing propositions either concern simple models [2] or ar
In the field of uncertainty quantification (UQ), epistemic uncertainty often refers to the kind of u...
An important issue in risk analysis is the distinction between epistemic and aleatory uncertainties....
Interval computations usually deal with the case of epistemic uncertainty, when the only information...
The treatment of both aleatory and epistemic uncertainty by recent methods often requires an high co...
The treatment of both aleatory and epistemic uncertainty by recent methods often requires an high co...
Axe 5 Application intégrée de la connaissance, de l’information et des technologies permettant d’acc...
Axe 5 Application intégrée de la connaissance, de l’information et des technologies permettant d’acc...
Axe 5 Application intégrée de la connaissance, de l’information et des technologies permettant d’acc...
In the field of uncertainty quantification, uncertainty in the governing equations may assume two fo...
The treatment of both aleatory and epistemic uncertainty by recent methods often requires an high co...
The treatment of both aleatory and epistemic uncertainty by recent methods often requires an high co...
The treatment of both aleatory and epistemic uncertainty by recent methods often requires an high co...
The treatment of both aleatory and epistemic uncertainty by recent methods often requires an high co...
Uncertainty exists in any engineering applications. Uncertainty is usually classified into two types...
In the field of uncertainty quantification, uncertainty in the governing equations may assume two fo...
In the field of uncertainty quantification (UQ), epistemic uncertainty often refers to the kind of u...
An important issue in risk analysis is the distinction between epistemic and aleatory uncertainties....
Interval computations usually deal with the case of epistemic uncertainty, when the only information...
The treatment of both aleatory and epistemic uncertainty by recent methods often requires an high co...
The treatment of both aleatory and epistemic uncertainty by recent methods often requires an high co...
Axe 5 Application intégrée de la connaissance, de l’information et des technologies permettant d’acc...
Axe 5 Application intégrée de la connaissance, de l’information et des technologies permettant d’acc...
Axe 5 Application intégrée de la connaissance, de l’information et des technologies permettant d’acc...
In the field of uncertainty quantification, uncertainty in the governing equations may assume two fo...
The treatment of both aleatory and epistemic uncertainty by recent methods often requires an high co...
The treatment of both aleatory and epistemic uncertainty by recent methods often requires an high co...
The treatment of both aleatory and epistemic uncertainty by recent methods often requires an high co...
The treatment of both aleatory and epistemic uncertainty by recent methods often requires an high co...
Uncertainty exists in any engineering applications. Uncertainty is usually classified into two types...
In the field of uncertainty quantification, uncertainty in the governing equations may assume two fo...
In the field of uncertainty quantification (UQ), epistemic uncertainty often refers to the kind of u...
An important issue in risk analysis is the distinction between epistemic and aleatory uncertainties....
Interval computations usually deal with the case of epistemic uncertainty, when the only information...