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Robustness Analysis in Decision Aiding, Optimization, and Analytics, 1st ed. 2016 International Series in Operations Research & Management Science Series, Vol. 241

Langue : Anglais

Coordonnateurs : Doumpos Michael, Zopounidis Constantin, Grigoroudis Evangelos

Couverture de l’ouvrage 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 methodologies proposed from multiple perspectives. Aside from covering recent methodological developments, this volume also features applications of robust techniques in engineering and management, thus illustrating the robustness issues raised in real-world problems and their resolution within advances in OR/MS methodologies.

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.

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. 
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.

Constantin Zopounidis is Professor of financial engineering and operations research at the Technical University of Crete (Greece), Distinguished Research Professor in Audencia Nantes School of Management (France), and Senior Academician of the Royal Academy of Economics and Financial Sciences of Spain, and member of the Royal Academy of Doctors of Spain. His research interests include financial engineering, financial risk management, and multiple criteria decision making. He has published over 300 papers in premier international journals, edited volumes, and conference proceedings. He has also published several books and edited volumes on financial engineering and operations research. Prof. Zopounidis is co-Editor-in-Chief of Operational Research-An International Journal (Springer), and editor-in-chief of the International Journal

Provides a unique overview of the fundamental aspects of robustness in OR/MS and the state-of-the-art advances in the related research, adopting a broad perspective that covers different established and emerging OR/MS fields, namely decision aiding, optimization, and analytics

Illustrates the robustness issues raised in real-world problems in different fields in engineering and management, and their resolution with innovative OR/MS methodologies

Editors and authors are leading authorities on the topics covered

Date de parution :

Ouvrage de 321 p.

15.5x23.5 cm

Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).

158,24 €

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