£73.85

Springer Dependability Modelling under Uncertainty - Vol 148

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Description

As mechatronic design processes become faster and more parallelized due to time-to-market pressures, engineers need reliable ways to perform quantitative analysis during the early design stages. This book from Springer provides new uncertainty-preserving dependability methods designed specifically for these critical early phases. When data is limited, traditional methods may fall short. This work explores how an imprecise probabilistic approach can address these challenges. It specifically examines how Dempster-Shafer theory serves as a viable alternative to standard probability theory for making dependability predictions when information is scarce. Part of the Studies in Computational Intelligence series, this volume offers technical insights for professionals and researchers looking to influence design outcomes through better quantitative analysis.

Key Features

Introduces new uncertainty-preserving dependability methods tailored for early design stages.

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Provides solutions for quantitative analysis when data availability is limited during initial design.

Addresses the challenges of modern mechatronic design processes and shortened development cycles.

Part of the Studies in Computational Intelligence series (Volume 148) by Springer.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
18 November 2010
Listed Since
14 June 2010

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No barcode data available

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