Description: Robustness Analysis in Decision Aiding, Optimization, and Analytics Author(s): Michael Doumpos, Constantin Zopounidis, Evangelos Grigoroudis Format: Hardback Publisher: Springer International Publishing AG, Switzerland Imprint: Springer International Publishing AG ISBN-13: 9783319331195, 978-3319331195 Synopsis 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.
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Book Title: Robustness Analysis in Decision Aiding, Optimization, and Anal...
Number of Pages: 321 Pages
Language: English
Publication Name: Robustness Analysis in Decision Aiding, Optimization, and Analytics
Publisher: Springer International Publishing A&G
Publication Year: 2016
Subject: Management
Item Height: 235 mm
Item Weight: 6387 g
Type: Textbook
Author: Evangelos Grigoroudis, Michael Doumpos, Constantin Zopounidis
Subject Area: Data Analysis
Series: International Series in Operations Research & Management Science
Item Width: 155 mm
Format: Hardcover
