We developed a non-stochastic methodology to deal with the uncertainty in models of population dynamics. This approach assumed that noise is bounded; it led to models based on differential inclusions rather than stochastic processes, and avoided stochastic calculus. Examples of estimations of extinc
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A data-driven stochastic collocation approach for uncertainty quantification in MEMS
β Scribed by Nitin Agarwal; N. R. Aluru
- Publisher
- John Wiley and Sons
- Year
- 2010
- Tongue
- English
- Weight
- 352 KB
- Volume
- 83
- Category
- Article
- ISSN
- 0029-5981
- DOI
- 10.1002/nme.2844
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This article treats the problem of vagueness in databases from a general point of view. Several kinds of attribute imprecise values are considered, including the case where such values are fuzzy set of objects. The possibility of managing uncertain data is also taken into account and both sources of