Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Economics and Mathematical Systems (LNE, volume 633)
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About this book
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.
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Table of contents (13 chapters)
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Front Matter
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Modeling of Uncertainty and Probabilistic Issues
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Front Matter
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Robust Solutions Under Uncertainty
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Front Matter
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Robust Solutions under Uncertainty
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Analysis and Optimization of Technical Systems and Structures Under Uncertainty
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Front Matter
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Analysis and Optimization of Technical Systems and Structures under Uncertainty
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Analysis and Optimization of Economic and Engineering Systems Under Uncertainty
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Front Matter
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Analysis and Optimization of Economic and Engineering Systems under Uncertainty
Editors and Affiliations
Bibliographic Information
Book Title: Coping with Uncertainty
Book Subtitle: Robust Solutions
Editors: Kurt Marti, Yuri Ermoliev, Marek Makowski
Series Title: Lecture Notes in Economics and Mathematical Systems
DOI: https://doi.org/10.1007/978-3-642-03735-1
Publisher: Springer Berlin, Heidelberg
eBook Packages: Business and Economics, Business and Management (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2010
Softcover ISBN: 978-3-642-03734-4Published: 07 December 2009
eBook ISBN: 978-3-642-03735-1Published: 24 December 2009
Series ISSN: 0075-8442
Series E-ISSN: 2196-9957
Edition Number: 1
Number of Pages: XVI, 277
Topics: Operations Research/Decision Theory, Optimization, Computational Intelligence, Engineering Design