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...
Shranjeno v:
| Glavni avtor: | |
|---|---|
| Format: | Livre numérique |
| Jezik: | Anglais |
| Izdano: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
2008.
Cham : Springer Nature |
| Serija: | Studies in Computational Intelligence
148 |
| Online dostop: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Sporočilo: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Dependability Modelling under Uncertainty, Texte imprimé, 9783642088803 • Dependability Modelling under Uncertainty, Texte imprimé, 9783540865193 • Dependability modelling under uncertainty, an imprecise probabilistic approach, Philipp Limbourg, Berlin, Springer, 2008, Studies in Computational Intelligence, 978-3-540-69286-7 |
Kazalo:
- 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.