Robustness Analysis in Decision Aiding, Optimization, and Analytics
This book provides a broad coverage of the recent advances in robustness analysis in decision aiding, optimization, and analytics. It offers a comprehensive illustration of the challenges that robustness raises in different operations research and management science (OR/MS) contexts and the methodol...
| Συγγραφή απο Οργανισμό/Αρχή: | |
|---|---|
| Άλλοι συγγραφείς: | , , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2016.
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| Σειρά: | International Series in Operations Research & Management Science,
241 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- SMAA in Robustness Analysis
- Data-driven Robustness Analysis for Multicriteria Classification Problems Using Preference Disaggregation Approaches
- Robustness for Adversarial Risk Analysis
- From Statistical Decision Theory to Robust Optimization: A Maximin Perspective on Robust Decision-Making
- The State of Robust Optimization
- Robust Discrete Optimization under Discrete and Interval Uncertainty - A Survey
- Performance Analysis in Robust Optimization
- Robust-Soft Solutions in Linear Optimization Problems with Fuzzy Parameters
- Robust Machine Scheduling Based on Group of Permutable Jobs
- How Robust is a Robust Policy? Comparing Alternative Robustness Metrics for Robust Decision-making
- Developing Robust Climate Policies: A Fuzzy Cognitive Map Approach
- Robust Optimization Approaches to Single Period Portfolio Allocation Problem
- Portfolio Optimization with Second-Order Stochastic Dominance Constraints and Portfolios Dominating Indices
- Robust DEA Approaches to Performance Evaluation of Olive Oil Production under Uncertainty. .
