Add to ORKGThe treatment of both aleatory and epistemic uncertainty by recent methods often requires an high computational effort. In this abstract, we propose a numerical sampling method allowing to lighten the computational burden of treating the information by means of so-called fuzzy random variables
In the field of uncertainty quantification (UQ), epistemic uncertainty often refers to the kind of u...
International audienceIn this paper, an advanced Monte Carlo (MC) simulation method, namely Line Sam...
International audienceIn this paper, an advanced Monte Carlo (MC) simulation method, namely Line Sam...
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...
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...
Nowadays, the need to treat both epistemic and aleatory uncertainty in a unified framework is well r...
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...
In the field of uncertainty quantification (UQ), epistemic uncertainty often refers to the kind of u...
International audienceIn this paper, an advanced Monte Carlo (MC) simulation method, namely Line Sam...
International audienceIn this paper, an advanced Monte Carlo (MC) simulation method, namely Line Sam...
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...
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...
Nowadays, the need to treat both epistemic and aleatory uncertainty in a unified framework is well r...
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...
In the field of uncertainty quantification (UQ), epistemic uncertainty often refers to the kind of u...
International audienceIn this paper, an advanced Monte Carlo (MC) simulation method, namely Line Sam...
International audienceIn this paper, an advanced Monte Carlo (MC) simulation method, namely Line Sam...