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Books > Reference & Interdisciplinary > Communication studies > Decision theory > Risk assessment
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Uncertainty in Risk Assessment - The Representation and Treatment of Uncertainties by Probabilistic and Non-Probabilistic Methods (Hardcover, New)
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Uncertainty in Risk Assessment - The Representation and Treatment of Uncertainties by Probabilistic and Non-Probabilistic Methods (Hardcover, New)
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Explores methods for the representation and treatment of
uncertainty in risk assessment In providing guidance for practical
decision-making situations concerning high-consequence technologies
(e.g., nuclear, oil and gas, transport, etc.), the theories and
methods studied in Uncertainty in Risk Assessment have wide-ranging
applications from engineering and medicine to environmental impacts
and natural disasters, security, and financial risk management. The
main focus, however, is on engineering applications. While
requiring some fundamental background in risk assessment, as well
as a basic knowledge of probability theory and statistics,
Uncertainty in Risk Assessment can be read profitably by a broad
audience of professionals in the field, including researchers and
graduate students on courses within risk analysis, statistics,
engineering, and the physical sciences. Uncertainty in Risk
Assessment: * Illustrates the need for seeing beyond probability to
represent uncertainties in risk assessment contexts. * Provides
simple explanations (supported by straightforward numerical
examples) of the meaning of different types of probabilities,
including interval probabilities, and the fundamentals of
possibility theory and evidence theory. * Offers guidance on when
to use probability and when to use an alternative representation of
uncertainty. * Presents and discusses methods for the
representation and characterization of uncertainty in risk
assessment. * Uses examples to clearly illustrate ideas and
concepts.
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