Managing Safety of Heterogeneous Systems

Decisions under Uncertainties and Risks
1. Auflage 2012
ISBN: 978-3-642-22883-4
Verlag: Springer

Buch, Englisch, Band 658, 378 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 617 g

Reihe: Lecture Notes in Economics and Mathematical Systems

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.

Zielgruppe

Research

Autoren/Hrsg.

Ermoliev, Yuri

Makowski, Marek

Marti, Kurt

Fachgebiete

• Technische Wissenschaften Technik Allgemein Technische Zuverlässigkeit, Sicherheitstechnik
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Kybernetik, Systemtheorie, Komplexe Systeme
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Risikobewertung, Risikotheorie
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
• Mathematik | Informatik Mathematik Mathematik Interdisziplinär Systemtheorie
• Mathematik | Informatik Mathematik Operations Research

Über Autor(innen)

Makowski, Marek
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.

Ermoliev, Yuri
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.

Marti, Kurt
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

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