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Uncertain Knowledge: A Challenge Problem

This challenge problem is focused on the consideration of epistemic uncertainties. An irreducible uncertainty (aleatory uncertainty) is an inherent variation associated with the physical system being modeled which is characterized by probability distributions. Reducible uncertainty (epistemic uncertainty) is the lack of certitude in a measured or calculated value that can be reduced by gathering more data, observations, or information. Reducible uncertainty is typically addressed by attempting to include conservative assumptions in the formulation of the uncertainties. Reducible uncertainty is also called ‘lack of knowledge uncertainty’.

Document Details

ReferenceBM_Apr_22_1
AuthorNAFEMS Stochastics Working Group
LanguageEnglish
TypeMagazine Article
Date 5th April 2022
OrganisationNAFEMS
RegionGlobal

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