Editors:
- State-of-the-art analysis and optimization methods for effective coping with uncertainty and risks
- Advanced tools and techniques for dealing with uncertainty and risk in several applied areas, such as engineering, operations research, economics, environmental policy-making
- Proper treatment of stochastic and non-stochastic uncertainty for robust optimal decisions under uncertainty and risk
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Economics and Mathematical Systems (LNE, volume 658)
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Table of contents (18 papers)
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Front Matter
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Decisions under Systemic Risk and Uncertainties
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Front Matter
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Modeling Uncertainties of Heterogeneous Systems
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Front Matter
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Uncertainty and Optimization
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Front Matter
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Analysis and Optimization of Technical Systems under Uncertainty
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Front Matter
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About this book
Managing safety of diverse systems requires decision-making under uncertainties and risks. Such systems are typically characterized by spatio-temporal heterogeneities, inter-dependencies, externalities, endogenous risks, discontinuities, irreversibility, practically irreducible uncertainties, and rare events with catastrophic consequences. Traditional scientific approaches rely on data from real observations and experiments; yet no sufficient observations exist for new problems, and experiments are usually impossible. Therefore, science-based support for addressing such new class of problems needs to replace the traditional “deterministic predictions” analysis by new methods and tools for designing decisions that are robust against the involved uncertainties and risks. The new methods treat uncertainties explicitly by using “synthetic” information derived by integration of “hard” elements, including available data, results of possible experiments, and formal representations of scientific facts, with “soft” elements based on diverse representations of scenarios and opinions of public, stakeholders, and experts. The volume presents such effective new methods, and illustrates their applications in different problem areas, including engineering, economy, finance, agriculture, environment, and policy making.
Editors and Affiliations
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Applied Systems Analysis (IIASA), International Institute for, Laxenburg, Austria
Yuri Ermoliev, Marek Makowski
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Aerospace Engineering and, Technology, Federal Armed Forces University Munich, Neubiberg/München, Germany
Kurt Marti
About the editors
Ermoliev, Y.: Professor, Institute Scholar, and Senior Researcher, Integrated Modeling Environment (IME) Project, International Institute for Applied System Analysis, Laxenburg, Austria. Research: modeling of decision-making processes under risks and uncertainties, stochastic and dynamic system optimization.
Makowski, M.: Dr., Leader, Integrated Modeling Environment (IME) Project, International Institute for Applied System Analysis, Laxenburg, Austria. Research: model-based decision-making support, structured modeling, integrated model analysis, multiple-criteria problem analysis.
Marti, K.: o.Univ.Professor for Engineering Mathematics, Federal Armed Forces University Munich, Aerospace Engineering and Technology, Neubiberg/Munich, Germany. Research: Stochastic Optimization Methods in Engineering
Bibliographic Information
Book Title: Managing Safety of Heterogeneous Systems
Book Subtitle: Decisions under Uncertainties and Risks
Editors: Yuri Ermoliev, Marek Makowski, Kurt Marti
Series Title: Lecture Notes in Economics and Mathematical Systems
DOI: https://doi.org/10.1007/978-3-642-22884-1
Publisher: Springer Berlin, Heidelberg
eBook Packages: Business and Economics, Business and Management (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2012
Softcover ISBN: 978-3-642-22883-4Published: 01 February 2012
eBook ISBN: 978-3-642-22884-1Published: 31 January 2012
Series ISSN: 0075-8442
Series E-ISSN: 2196-9957
Edition Number: 1
Number of Pages: XXIII, 378
Number of Illustrations: 78 b/w illustrations
Topics: Operations Research/Decision Theory, Operations Research, Management Science, Quality Control, Reliability, Safety and Risk, Statistical Theory and Methods