Uncertainty quantification through a model-based fuzzy set membership function
Abstract eng: An approach to uncertainty quantification is proposed. It is based on a fuzzy set membership function that is defined through a model (or models) response. That is, information about uncertain parameters is gathered from measured responses of one or more models, the membership function is inferred and used in uncertainty quantification of the output of a model of interest. The idea is illustrated by a beam deflection problem.
Publisher:
Institute of Theoretical and Applied Mechanics of the Cech Academy of Sciences, Prague
Conference Title:
Conference Title:
Engineering Mechanics 2018
Conference Venue:
Svratka, CZ
Conference Dates:
2018-05-14 / 2018-05-17
Rights:
Text je chráněný podle autorského zákona č. 121/2000 Sb.
Record appears in:
Record created 2022-01-10, last modified 2022-01-10
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