Titlebook: Combining Interval, Probabilistic, and Other Types of Uncertainty in Engineering Applications; Andrew Pownuk,Vladik Kreinovich Book 2018 S

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1860-949X fers a valuable resource for all practical engineers interested in better ways of gauging uncertainty, for students eager to learn and apply the new techniques, and for researchers interested in processing heterogeneous uncertainty. .978-3-030-08158-4978-3-319-91026-0Series ISSN 1860-949X Series E-ISSN 1860-9503

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How to Speed Up Computations,for which, as we mentioned in Chap. ., data processing means using Zadeh’s extension principle, or, equivalently, interval computations on .-cuts. In this case, processing different types of uncertainty separately can drastically speed up computations. For the important case of t-norms different fro

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Towards a Better Understandability of Uncertainty-Estimating Algorithms,is case, in Sect. ., we provide an intuitive explanation for different types of solutions, and in Sect. ., we provide an intuitive explanation for seemingly counter-intuitive methods for solving the corresponding problem. In Sect. ., we consider the case of probabilistic uncertainty. For this case,

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Andrew Pownuk,Vladik KreinovichPresents successful methods for estimating the accuracy of the results of data processing under different models of measurement and estimation inaccuracies: probabilistic, interval, and fuzzy.Offers m

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Combining Interval, Probabilistic, and Other Types of Uncertainty in Engineering Applications978-3-319-91026-0Series ISSN 1860-949X Series E-ISSN 1860-9503

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