Numerical Sensitivity and Efficiency in the Treatment of Epistemic and Aleatory Uncertainty

Computer Science – Artificial Intelligence

Scientific paper

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Scientific paper

The 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.

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