Dependability Modelling under Uncertainty An Imprecise Probabilistic Approach /

• Main Author: Limbourg, Philipp (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
• Series: Studies in Computational Intelligence, 148
• Subjects: Computer science.; Computers.; Artificial intelligence.; Applied mathematics.; Engineering mathematics.; Computer Science.; Theory of Computation.; Appl.Mathematics/Computational Methods of Engineering.; Artificial Intelligence (incl. Robotics).

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...

Table of Contents:

• 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.