Doumpos, Michael
Robustness Analysis in Decision Aiding, Optimization, and Analytics
1. SMAA in Robustness Analysis
Risto Lahdelma, Pekka Salminen
2. Data-Driven Robustness Analysis for Multicriteria Classification Problems Using Preference Disaggregation Approaches
Michael Doumpos, Constantin Zopounidis
3. Robustness for Adversarial Risk Analysis
David Ríos Insua, Fabrizio Ruggeri, Cesar Alfaro, Javier Gomez
4. From Statistical Decision Theory to Robust Optimization: A Maximin Perspective on Robust Decision-Making
Moshe Sniedovich
5. The State of Robust Optimization
Seçil Sözüer, Aurélie C. Thiele
6. Robust Discrete Optimization Under Discrete and Interval Uncertainty: A Survey
Adam Kasperski, Paweł Zieliński
7. Performance Analysis in Robust Optimization
André Chassein, Marc Goerigk
8. Robust-Soft Solutions in Linear Optimization Problems with Fuzzy Parameters
Masahiro Inuiguchi
9. Robust Machine Scheduling Based on Group of Permutable Jobs
Christian Artigues, Jean-Charles Billaut, Azzedine Cheref, Nasser Mebarki, Zakaria Yahouni
10. How Robust is a Robust Policy? Comparing Alternative Robustness Metrics for Robust Decision-Making
Jan H. Kwakkel, Sibel Eker, Erik Pruyt
11. Developing Robust Climate Policies: A Fuzzy Cognitive Map Approach
Alexandros Nikas, Haris Doukas
12. Robust Optimization Approaches to Single Period Portfolio Allocation Problem
Nalân Gülpınar, Zhezhi Hu
13. Portfolio Optimization with Second-Order Stochastic Dominance Constraints and Portfolios Dominating Indices
Neslihan Fidan Keçeci, Viktor Kuzmenko, Stan Uryasev
14. Robust DEA Approaches to Performance Evaluation of Olive Oil Production Under Uncertainty
Kazım Barış Atıcı, Nalân Gülpınar
Keywords: Business and Management, Operation Research/Decision Theory, Operations Research, Management Science
- Editor
- Doumpos, Michael
- Grigoroudis, Evangelos
- Zopounidis, Constantin
- Publisher
- Springer
- Publication year
- 2016
- Language
- en
- Edition
- 1
- Series
- International Series in Operations Research & Management Science
- Page amount
- 21 pages
- Category
- Economy
- Format
- Ebook
- eISBN (PDF)
- 9783319331218
- Printed ISBN
- 978-3-319-33119-5