Robustness Analysis in Decision Aiding, Optimization, and Analytics
Springer International Publishing (Verlag)
978-3-319-33119-5 (ISBN)
Robustness analysis seeks to address issues by promoting solutions, which are acceptable under a wide set of hypotheses, assumptions and estimates. In OR/MS, robustness has been mostly viewed in the context of optimization under uncertainty. Several scholars, however, have emphasized the multiple facets of robustness analysis in a broader OR/MS perspective that goes beyond the traditional framework, seeking to cover the decision support nature of OR/MS methodologies as well. As new challenges emerge in a "big-data'" era, where the information volume, speed of flow, and complexity increase rapidly, and analytics play a fundamental role for strategic and operational decision-making at a global level, robustness issues such as the ones covered in this book become more relevant than ever for providing sound decision support through more powerful analytic tools.
Michael Doumpos is associate professor of operations research at the School of Production Engineering and Management of the Technical University of Crete, Greece. His research interests include multiple criteria decision making, decision support systems, business intelligence, and financial risk management. He has published over 70 research papers in premier journals in operations research, management science, and finance. He has also authored and edited several books on intelligent decision support, multicriteria analysis, and financial decision making, and he has guest-edited more than 10 special issues on these areas for leading international journals. He serves as managing editor of the International Journal of Multicriteria Decision Making, and associate editor of Omega and the International Journal of Financial Engineering and Risk Management. He has been involved in a number of research projects funded by public organizations and the private sector, regarding the implementation of decision support systems and data analytic techniques in several areas such as finance, banking, energy management, and shipping.
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.
| Erscheinungsdatum | 08.10.2016 |
|---|---|
| Reihe/Serie | International Series in Operations Research & Management Science |
| Zusatzinfo | XXI, 321 p. 65 illus., 27 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Wirtschaft ► Allgemeines / Lexika |
| Wirtschaft ► Betriebswirtschaft / Management ► Unternehmensführung / Management | |
| Schlagworte | Analytics • Bayesian Robustness • business and management • decision aiding • decision support • Operation Research/Decision Theory • Operations Research, Management Science • Robustness Analysis • robust optimization |
| ISBN-10 | 3-319-33119-1 / 3319331191 |
| ISBN-13 | 978-3-319-33119-5 / 9783319331195 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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