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The Resource Uncertainty in Risk Assessment : The Representation and Treatment of Uncertainties by Probabilistic and Non-Probabilistic Methods, (electronic book)

Uncertainty in Risk Assessment : The Representation and Treatment of Uncertainties by Probabilistic and Non-Probabilistic Methods, (electronic book)

Label
Uncertainty in Risk Assessment : The Representation and Treatment of Uncertainties by Probabilistic and Non-Probabilistic Methods
Title
Uncertainty in Risk Assessment
Title remainder
The Representation and Treatment of Uncertainties by Probabilistic and Non-Probabilistic Methods
Creator
Contributor
Subject
Language
eng
Summary
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 k
Member of
Cataloging source
AU-PeEL
http://library.link/vocab/creatorName
Aven, Terje
Dewey number
338.5
LC call number
HD61
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • Zio, Enrico
  • Baraldi, Piero
  • Flage, Roger
http://library.link/vocab/subjectName
  • Mathematics
  • Probabilities
  • Risk assessment
Label
Uncertainty in Risk Assessment : The Representation and Treatment of Uncertainties by Probabilistic and Non-Probabilistic Methods, (electronic book)
Instantiates
Publication
Contents
  • Uncertainty in Risk Assessment: The Representation and Treatment of Uncertainties by Probabilistic and Non-Probabilistic Methods; Contents; Preface; Part I: Introduction; 1 Introduction; 1.1 Risk; 1.1.1 The concept of risk; 1.1.2 Describing/measuring risk; 1.1.3 Examples; 1.2 Probabilistic risk assessment; 1.3 Use of risk assessment: The risk management and decision-making context; 1.4 Treatment of uncertainties in risk assessments; 1.5 Challenges: Discussion; 1.5.1 Examples; 1.5.2 Alternatives to the probability-based approaches to risk and uncertainty assessment; 1.5.3 The way ahead
  • References - Part IPart II: Methods; 2 Probabilistic approaches for treating uncertainty; 2.1 Classical probabilities; 2.2 Frequentist probabilities; 2.3 Subjective probabilities; 2.3.1 Betting interpretation; 2.3.2 Reference to a standard for uncertainty; 2.4 The Bayesian subjective probability framework; 2.5 Logical probabilities; 3 Imprecise probabilities for treating uncertainty; 4 Possibility theory for treating uncertainty; 4.1 Basics of possibility theory; 4.2 Approaches for constructing possibility distributions
  • 4.2.1 Building possibility distributions from nested probability intervals4.2.2 Justification for using the triangular possibility distribution; 4.2.3 Building possibility distributions using Chebyshev's inequality; 5 Evidence theory for treating uncertainty; 6 Methods of uncertainty propagation; 6.1 Level 1 uncertainty propagation setting; 6.1.1 Level 1 purely probabilistic framework; 6.1.2 Level 1 purely possibilistic framework; 6.1.3 Level 1 hybrid probabilistic-possibilistic framework; 6.2 Level 2 uncertainty propagation setting; 6.2.1 Level 2 purely probabilistic framework
  • 6.2.2 Level 2 hybrid probabilistic-evidence theory framework7 Discussion; 7.1 Probabilistic analysis; 7.2 Lower and upper probabilities; 7.3 Non-probabilistic representations with interpretations other than lower and upper probabilities; 7.4 Hybrid representations of uncertainty; 7.5 Semi-quantitative approaches; References - Part II; Part III: Practical Applications; 8 Uncertainty representation and propagation in structural reliability analysis; 8.1 Structural reliability analysis; 8.1.1 A model of crack propagation under cyclic fatigue; 8.2 Case study; 8.3 Uncertainty representation
  • 8.4 Uncertainty propagation8.5 Results; 8.6 Comparison to a purely probabilistic method; 9 Uncertainty representation and propagation in maintenance performance assessment; 9.1 Maintenance performance assessment; 9.2 Case study; 9.3 Uncertainty representation; 9.4 Uncertainty propagation; 9.4.1 Maintenance performance assessment in the case of no epistemic uncertainty on the parameters; 9.4.2 Application of the hybrid probabilistic-theory of evidence uncertainty propagation method; 9.5 Results; 10 Uncertainty representation and propagation in event tree analysis; 10.1 Event tree analysis
  • 10.2 Case study
Control code
purchEBL1583676
Dimensions
unknown
Extent
1 online resource (198 p.)
Form of item
electronic
Governing access note
There is no limit to the number of simultaneous users but there is a limit of 325 uses (cumulative between all users) in each 12 month period, from the date of purchase. Library staff are alerted when the remaining number of uses is low and will decide whether to buy another copy.Printing is restricted to 20% of the total pages of the ebook, per patron. Copying and pasting is restricted to 5% of the total pages of the ebook, per person. However, printing and copy and paste permissions in excess of this may be granted by some publishers
Isbn
9781118763056
Specific material designation
remote
Label
Uncertainty in Risk Assessment : The Representation and Treatment of Uncertainties by Probabilistic and Non-Probabilistic Methods, (electronic book)
Publication
Contents
  • Uncertainty in Risk Assessment: The Representation and Treatment of Uncertainties by Probabilistic and Non-Probabilistic Methods; Contents; Preface; Part I: Introduction; 1 Introduction; 1.1 Risk; 1.1.1 The concept of risk; 1.1.2 Describing/measuring risk; 1.1.3 Examples; 1.2 Probabilistic risk assessment; 1.3 Use of risk assessment: The risk management and decision-making context; 1.4 Treatment of uncertainties in risk assessments; 1.5 Challenges: Discussion; 1.5.1 Examples; 1.5.2 Alternatives to the probability-based approaches to risk and uncertainty assessment; 1.5.3 The way ahead
  • References - Part IPart II: Methods; 2 Probabilistic approaches for treating uncertainty; 2.1 Classical probabilities; 2.2 Frequentist probabilities; 2.3 Subjective probabilities; 2.3.1 Betting interpretation; 2.3.2 Reference to a standard for uncertainty; 2.4 The Bayesian subjective probability framework; 2.5 Logical probabilities; 3 Imprecise probabilities for treating uncertainty; 4 Possibility theory for treating uncertainty; 4.1 Basics of possibility theory; 4.2 Approaches for constructing possibility distributions
  • 4.2.1 Building possibility distributions from nested probability intervals4.2.2 Justification for using the triangular possibility distribution; 4.2.3 Building possibility distributions using Chebyshev's inequality; 5 Evidence theory for treating uncertainty; 6 Methods of uncertainty propagation; 6.1 Level 1 uncertainty propagation setting; 6.1.1 Level 1 purely probabilistic framework; 6.1.2 Level 1 purely possibilistic framework; 6.1.3 Level 1 hybrid probabilistic-possibilistic framework; 6.2 Level 2 uncertainty propagation setting; 6.2.1 Level 2 purely probabilistic framework
  • 6.2.2 Level 2 hybrid probabilistic-evidence theory framework7 Discussion; 7.1 Probabilistic analysis; 7.2 Lower and upper probabilities; 7.3 Non-probabilistic representations with interpretations other than lower and upper probabilities; 7.4 Hybrid representations of uncertainty; 7.5 Semi-quantitative approaches; References - Part II; Part III: Practical Applications; 8 Uncertainty representation and propagation in structural reliability analysis; 8.1 Structural reliability analysis; 8.1.1 A model of crack propagation under cyclic fatigue; 8.2 Case study; 8.3 Uncertainty representation
  • 8.4 Uncertainty propagation8.5 Results; 8.6 Comparison to a purely probabilistic method; 9 Uncertainty representation and propagation in maintenance performance assessment; 9.1 Maintenance performance assessment; 9.2 Case study; 9.3 Uncertainty representation; 9.4 Uncertainty propagation; 9.4.1 Maintenance performance assessment in the case of no epistemic uncertainty on the parameters; 9.4.2 Application of the hybrid probabilistic-theory of evidence uncertainty propagation method; 9.5 Results; 10 Uncertainty representation and propagation in event tree analysis; 10.1 Event tree analysis
  • 10.2 Case study
Control code
purchEBL1583676
Dimensions
unknown
Extent
1 online resource (198 p.)
Form of item
electronic
Governing access note
There is no limit to the number of simultaneous users but there is a limit of 325 uses (cumulative between all users) in each 12 month period, from the date of purchase. Library staff are alerted when the remaining number of uses is low and will decide whether to buy another copy.Printing is restricted to 20% of the total pages of the ebook, per patron. Copying and pasting is restricted to 5% of the total pages of the ebook, per person. However, printing and copy and paste permissions in excess of this may be granted by some publishers
Isbn
9781118763056
Specific material designation
remote

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