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Recent Trends in the Modeling and Quantification of Non-probabilistic Uncertainty

Tijdschriftbijdrage - e-publicatie

This paper gives an overview of recent advances in the eld of nonprobabilistic uncertainty quanti cation. Both techniques for the forward propagation and inverse quanti cation of interval and fuzzy uncertainty are discussed. Also the modeling of spatial uncertainty in an interval and fuzzy context is discussed. An in depth discussion of a recently introduced method for the inverse quanti cation of spatial interval uncertainty is provided and its performance is illustrated using a case studies taken from literature. It is shown that the method enables an accurate quanti cation of spatial uncertainty under very low data availability and with a very limited amount of assumptions on the underlying uncertainty. Finally, also a conceptual comparison with the class of Bayesian methods for uncertainty quanti cation is provided.
Tijdschrift: Archives of Computational Methods in Engineering
ISSN: 1134-3060
Issue: 3
Volume: 27
Pagina's: 1 - 39
Jaar van publicatie:2020
BOF-keylabel:ja
IOF-keylabel:ja
BOF-publication weight:10
CSS-citation score:3
Authors from:Higher Education
Toegankelijkheid:Open