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Uncertainty quantification through a model-based fuzzy set membership function
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 re...
Applied mathematics
- 2018 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
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Stochastic Spectral Methods in Uncertainty Quantification
Uncertainty quantification is an important part of a probabilistic design on the efficient alternative approach for uncertainty quantification-stochastic spectral, an application of stochastic spectral methods in <...
Construction engineering, Municipal and structural engineering
- 2019 •
- Jost •
- Link
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Jost - Ostatní články v recenzovaných periodicích
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Identification and quantification of uncertainties in the measurement and evaluation of the discharge coefficient of triangular-notch thin-plate weir
Determination of the discharge coefficient of triangular-notch thin-plate weir according to ČSN ISO 1438 is associated with several uncertainties. The work deals with the identification and quantification of uncertainties a...
Civil engineering
- 2021 •
- O •
- Link
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O - Ostatní výsledky
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On cosine fuzzy sets and uncertainty quantification
application into simulation problems and uncertainty quantification in order to cover both aleatoric and epistemic uncertainties commonly seen in non-probabilistic models are described and applied into three examples: a ra...
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2024 •
- Jimp •
- Link
Rok uplatnění
Jimp - Článek v periodiku v databázi Web of Science
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GramCharlier
Software GramCharlier represents complex tool for uncertainty quantification of random variables, estimation of probability distribution and its utilization for stochastic modeling....
Construction engineering, Municipal and structural engineering
- 2023 •
- R •
- Link
Rok uplatnění
R - Software
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Uncertainty Quantification Through Bayesian Nonparametric Modelling
uncertainties by stochastic modelling in order to make the numerical predictions as realistic as possible. Uncertainty quantification deals with distinct sources of nondeterminism. A lack of knowledge is expressed by epist...
Civil engineering
- 2020 •
- D
Rok uplatnění
D - Stať ve sborníku
Uncertainty quantification of collective nuclear observables from the chiral potential parametrization
towards a rigorous uncertainty quantification of collectivity in nuclei that aims to account for all sources of uncertainty in ab initio descriptions of challengingWe perform an uncertainty estimate of quadrupole ...
Nuclear physics
- 2024 •
- Jimp •
- Link
Rok uplatnění
Jimp - Článek v periodiku v databázi Web of Science
Výsledek na webu
From Relative Frequences to Lattice-Valued Possibilistic Measures
The paper offers a very short essay on various mathematical models for uncertainty quantification and processing both for the uncertainty in the sense of randomness as well as for the uncertainty in the sense of va...
BA - Obecná matematika
- 2009 •
- C
Rok uplatnění
C - Kapitola v odborné knize
Gnostical Models of Quantification under Uncertainty
Annotation not available...
BD - Teorie informace
- 1993 •
- D
Rok uplatnění
D - Stať ve sborníku
Uncertainty Quantification of Soil-Structure Interaction in Tunnel Linings by Polynomial Chaos Expansion
The paper is focused on uncertainty quantification of soil-structure (statistical and sensitivity analysis). Uncertainty quantification is focused on estimation associated with a great number of load and material <...
Civil engineering
- 2024 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
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