Dependability Modelling under Uncertainty : An Imprecise Probabilistic Approach
Publication year: 2008
ISBN: 978-3-540-69287-4
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Mechatronic design processes have become shorter and more parallelized, induced by growing time-to-market pressure. Methods that enable quantitative analysis in early design stages are required, should dependability analyses aim to influence the design. Due to the limited amount of data in this phase, the level of uncertainty is high and explicit modeling of these uncertainties becomes necessary. This work introduces new uncertainty-preserving dependability methods for early design stages.
Subject: Engineering, Computational Intelligence, Dependability Modelling, Mechatronics, Regression, System, Uncertainty, modeling, optimization, Theory of Computation, Mathematical and Computational Engineering, Artificial Intelligence
