Coping with uncertainty : robust solutions / edited by Kurt Marti, Yuri Ermoliev, Marek Makowski
- 其他作者：
- 其他題名：
- Springer eBooks
- Robust solutions
- 出版： Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg 2010
- 叢書名： Lecture notes in economics and mathematical systems ,633
- 主題： Uncertainty , Uncertainty--Mathematical models. , Economics/Management Science. , Operations Research/Decision Theory. , Optimization. , Engineering design. , Computational intelligence
- ISBN： 9783642037351 (electronic bk.) 、 9783642037344 (paper)
- URL：
電子書
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讀者標籤：
- 系統號： 005161131 | 機讀編目格式
館藏資訊
Support for addressing the on-going global changes needs solutions for new scientific problems which in turn require new concepts and tools. A key issue concerns a vast variety of irreducible uncertainties, including extreme events of high multidimensional consequences, e.g., the climate change. The dilemma is concerned with enormous costs versus massive uncertainties of extreme impacts. Traditional scientific approaches rely on real observations and experiments. Yet no sufficient observations exist for new problems, and "pure" experiments, and learning by doing may be expensive, dangerous, or impossible. In addition, the available historical observations are often contaminated by past actions, and policies. Thus, tools are presented for the explicit treatment of uncertainties using "synthetic" information composed of available "hard" data from historical observations, the results of possible experiments, and scientific facts, as well as "soft" data from experts' opinions, and scenarios.