Decision Making under Deep Uncertainty
From Theory to Practice
Always available
Always available
Decision Making under Deep Uncertainty: From Theory to Practice is divided into four parts. Part I presents five approaches for designing strategic plans under deep uncertainty: Robust Decision Making, Dynamic Adaptive Planning, Dynamic Adaptive Policy Pathways, Info-Gap Decision Theory, and Engineering Options Analysis. Each approach is worked out in terms of its theoretical foundations, methodological steps to follow when using the approach, latest methodological insights, and challenges for improvement. In Part II, applications of each of these approaches are presented. Based on recent case studies, the practical implications of applying each approach are discussed in depth. Part III focuses on using the approaches and tools in real-world contexts, based on insights from real-world cases. Part IV contains conclusions and a synthesis of the lessons that can be drawn for designing, applying, and implementing strategic plans under deep uncertainty, as well as recommendations for future work.
The publication of this book has been funded by the Radboud University, the RAND Corporation, Delft University of Technology, and Deltares.
-
Creators
-
Publisher
-
Release date
April 4, 2019 -
Formats
-
Kindle Book
-
OverDrive Read
- ISBN: 9783030052522
-
Open EPUB ebook
- ISBN: 9783030052522
- File size: 22810 KB
-
-
Languages
- English
Formats
- Kindle Book
- OverDrive Read
- Open EPUB ebook
subjects
Languages
- English
Loading
Why is availability limited?
×Availability can change throughout the month based on the library's budget. You can still place a hold on the title, and your hold will be automatically filled as soon as the title is available again.
The Kindle Book format for this title is not supported on:
×Read-along ebook
×The OverDrive Read format of this ebook has professional narration that plays while you read in your browser. Learn more here.