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来源类型 | Book |
规范类型 | 图书 |
DOI | 10.1007/978-3-642-03735-1 |
ISBN | 978-3-642-03734-4 |
Coping with Uncertainty: Robust Solutions. | |
Marti K; Ermoliev Y; Makowski M | |
发表日期 | 2010 |
出版者 | Springer-Verlag, Heidelberg, Germany |
出版年 | 2010 |
语种 | 英语 |
摘要 | 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 obserations 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. |
主题 | Integrated Modeling Environment (IME) |
关键词 | Modelling uncertainty Optimal decision under uncertainty Optimal design Robust optimal solution Technical systems |
URL | http://pure.iiasa.ac.at/id/eprint/9359/ |
来源智库 | International Institute for Applied Systems Analysis (Austria) |
引用统计 | |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/126124 |
推荐引用方式 GB/T 7714 | Marti K,Ermoliev Y,Makowski M. Coping with Uncertainty: Robust Solutions.. 2010. |
条目包含的文件 | 条目无相关文件。 |
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