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Doumpos, Michael

Robustness Analysis in Decision Aiding, Optimization, and Analytics

Doumpos, Michael - Robustness Analysis in Decision Aiding, Optimization, and Analytics, e-kirja

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Table of contents

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

Avainsanat: Business and Management, Operation Research/Decision Theory, Operations Research, Management Science

Toimittaja
 
 
Julkaisija
Springer
Julkaisuvuosi
2016
Kieli
en
Painos
1
Sarja
International Series in Operations Research & Management Science
Sivumäärä
21 sivua
Kategoria
Talous
Tiedostomuoto
E-kirja
eISBN (PDF)
9783319331218
Painetun ISBN
978-3-319-33119-5

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