Managing Safety of Heterogeneous Systems [electronic resource] : Decisions under Uncertainties and Risks /
Ermoliev, Yuri.editor.
Makowski, Marek.editor.
Marti, Kurt.editor.
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.
Description based upon print version of record.
Includes bibliographical references.
pt. 1. Decisions under systemic risk and uncertainties -- pt. 2. Modeling uncertainties of heterogeneous systems -- pt. 3. Uncertainty and optimization -- pt. 4. Analysis and optimization of technical systems under uncertainty -- pt. 5. Analysis and optimization of economic systems under uncertainty.
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.
Operations research.
Decision making.
Management science.
Quality control.
Reliability.
Industrial safety.
Statistics .
Operations Research/Decision Theory.
Operations Research, Management Science.
Quality Control, Reliability, Safety and Risk.
Statistical Theory and Methods.
Lecture notes in economics and mathematical systems