Dependability Modelling under Uncertainty An Imprecise Probabilistic Approach /

• Κύριος συγγραφέας: Limbourg, Philipp (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
• Σειρά: Studies in Computational Intelligence, 148
• Θέματα: 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...

Πίνακας περιεχομένων:

• 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.