Dependability Modelling under Uncertainty An Imprecise Probabilistic Approach /

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 phas...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Limbourg, Philipp (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Colección:Studies in Computational Intelligence, 148
Temas:
Computer science.
Engineering mathematics.
Engineering-Data processing.
Artificial intelligence.
Theory of Computation.
Mathematical and Computational Engineering Applications.
Artificial Intelligence.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Dependability Prediction in Early Design Stages
  • Representation and Propagation of Uncertainty Using the Dempster-Shafer Theory of Evidence
  • Predicting Dependability Characteristics by Similarity Estimates - A Regression Approach
  • Design Space Specification of Dependability Optimization Problems Using Feature Models
  • Evolutionary Multi-objective Optimization of Imprecise Probabilistic Models
  • Case Study
  • Summary, Conclusions and Outlook.

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