| 書目名稱 | Robustness Analysis in Decision Aiding, Optimization, and Analytics | | 編輯 | Michael Doumpos,Constantin Zopounidis,Evangelos Gr | | 視頻video | http://file.papertrans.cn/832/831397/831397.mp4 | | 概述 | 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 a | | 叢書名稱 | International Series in Operations Research & Management Science | | 圖書封面 |  | | 描述 | 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 com | | 出版日期 | Book 2016 | | 關(guān)鍵詞 | Analytics; Bayesian Robustness; Decision Aiding; Decision Support; Robust Optimization; Robustness Analys | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-33121-8 | | isbn_softcover | 978-3-319-81432-2 | | isbn_ebook | 978-3-319-33121-8Series ISSN 0884-8289 Series E-ISSN 2214-7934 | | issn_series | 0884-8289 | | copyright | Springer International Publishing Switzerland 2016 |
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