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Managing Safety of Heterogeneous Systems [electronic resource] : Decisions under Uncertainties and Risks / edited by Yuri Ermoliev, Marek Makowski, Kurt Marti.

Por: Colaborador(es): Tipo de material: TextoTextoSeries Lecture Notes in Economics and Mathematical Systems ; 658 | Lecture Notes in Economics and Mathematical Systems ; 658Editor: Berlin, Heidelberg : Springer Berlin Heidelberg, 2012Descripción: XXIII, 378p. 78 illus. online resourceTipo de contenido:
  • text
Tipo de medio:
  • computer
Tipo de soporte:
  • online resource
ISBN:
  • 9783642228841
Trabajos contenidos:
  • SpringerLink (Online service)
Tema(s): Formatos físicos adicionales: Sin títuloClasificación CDD:
  • 658.40301 23
Clasificación LoC:
  • HD30.23
Recursos en línea: Springer eBooksResumen: 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 ǣdeterministic predictionsǥ 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 ǣsyntheticǥ information derived by integration of ǣhardǥ elements, including available data, results of possible experiments, and formal representations of scientific facts, with ǣsoftǥ 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.
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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 ǣdeterministic predictionsǥ 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 ǣsyntheticǥ information derived by integration of ǣhardǥ elements, including available data, results of possible experiments, and formal representations of scientific facts, with ǣsoftǥ 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.

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