Uncertainty quantification through a model-based fuzzy set membership function

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F18%3A00326768" target="_blank" >RIV/68407700:21110/18:00326768 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.21495/91-8-153" target="_blank" >https://doi.org/10.21495/91-8-153</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.21495/91-8-153" target="_blank" >10.21495/91-8-153</a>

Result language
angličtina
Original language name
Uncertainty quantification through a model-based fuzzy set membership function
Original language description
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.
Czech name
—
Czech description
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Project
<a href="/en/project/GA18-04262S" target="_blank" >GA18-04262S: Probabilistic identification of material transport parameters based on non-invasive experimental measurements</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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