| Description |
1 online resource (xvi, 277 pages) : illustrations |
| Series |
Lecture notes in economics and mathematical systems ; 633 |
|
Lecture notes in economics and mathematical systems ; 633.
|
| Contents |
Part I: Modeling of Uncertainty and Probabilistic Issues -- Part II: Robust Solutions under Uncertainty -- Part III: Analysis and Optimization of Technical Systems and Structures under Uncertainty -- Part IV: Analysis and Optimization of Economic and Engineering Systems under Uncertainty |
| Summary |
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 |
| Bibliography |
Includes bibliographical references |
| Notes |
Print version record |
| Subject |
Uncertainty.
|
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Uncertainty -- Mathematical models.
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BUSINESS & ECONOMICS -- Economics -- Microeconomics.
|
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Affaires.
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Science économique.
|
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Economie de l'entreprise.
|
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Uncertainty
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Uncertainty -- Mathematical models
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| Form |
Electronic book
|
| Author |
Marti, Kurt, 1943-
|
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Ermolʹev, I︠U︡. M. (I︠U︡riĭ Mikhaĭlovich)
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Makowski, Marek (Marek K.)
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| ISBN |
9783642037351 |
|
3642037356 |
|
