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Uncertainty characterization in risk analysis for decision-making practice By Enrico Zio, Nicola Pedroni
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This document provides an overview of sources of uncertainty in probabilistic risk analysis. For each phase of the risk analysis process (system modeling, hazard identification, estimation of the... More > probability and consequences of accident sequences, risk evaluation), the authors describe and classify the types of uncertainty that can arise.< Less
Uncertainty characterization in risk analysis for decision-making practice - Document in color By Enrico Zio, Nicola Pedroni
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This document provides an overview of sources of uncertainty in probabilistic risk analysis. For each phase of the risk analysis process (system modeling, hazard identification, estimation of the... More > probability and consequences of accident sequences, risk evaluation), the authors describe and classify the types of uncertainty that can arise.< Less
Overview of risk-informed decision-making processes By Enrico Zio, Nicola Pedroni
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The authors introduce the general concepts, definitions and issues related to the use of Risk-informed decisionmaking (RIDM). These are structured processes which assist decision-makers when faced... More > with high impact, complex decisions involving multiple objectives and the presence of uncertainty. They aim to ensure that decisions between competing alternatives are taken with an awareness of the risks associated with each option, and that all attributes of a decision are considered in an integrated manner. Motivations for the use of these techniques as a complement to more traditional deterministic approaches to risk assessment are provided. The RIDM processes adopted by NASA and by the US Nuclear Regulatory Commission are described in detail, with an analysis of commonalities and differences in approach.< Less
Overview of risk-informed decision-making processes - Editon couleur By Enrico Zio, Nicola Pedroni
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The authors introduce the general concepts, definitions and issues related to the use of Risk-informed decisionmaking (RIDM). These are structured processes which assist decision-makers when faced... More > with high impact, complex decisions involving multiple objectives and the presence of uncertainty. They aim to ensure that decisions between competing alternatives are taken with an awareness of the risks associated with each option, and that all attributes of a decision are considered in an integrated manner. Motivations for the use of these techniques as a complement to more traditional deterministic approaches to risk assessment are provided. The RIDM processes adopted by NASA and by the US Nuclear Regulatory Commission are described in detail, with an analysis of commonalities and differences in approach.< Less
Literature review of methods for representing uncertainty By Enrico Zio, Nicola Pedroni
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This document provides a critical review of different frameworks for uncertainty analysis, in a risk analysis context: classical probabilistic analysis, imprecise probability (interval analysis),... More > probability bound analysis, evidence theory, and possibility theory. The driver of the critical analysis is the decision-making process and the need to feed it with representative information derived from the risk assessment, to robustly support the decision. Technical details of the different frameworks are exposed only to the extent necessary to analyze and judge how these contribute to the communication of risk and the representation of the associated uncertainties to decision-makers, in the typical settings of high-consequence risk analysis of complex systems with limited knowledge on their behaviour.< Less
Literature review of methods for representing uncertainty - Document in color By Enrico Zio, Nicola Pedroni
Paperback: $17.33
Ships in 3-5 business days
This document provides a critical review of different frameworks for uncertainty analysis, in a risk analysis context: classical probabilistic analysis, imprecise probability (interval analysis),... More > probability bound analysis, evidence theory, and possibility theory. The driver of the critical analysis is the decision-making process and the need to feed it with representative information derived from the risk assessment, to robustly support the decision. Technical details of the different frameworks are exposed only to the extent necessary to analyze and judge how these contribute to the communication of risk and the representation of the associated uncertainties to decision-makers, in the typical settings of high-consequence risk analysis of complex systems with limited knowledge on their behaviour.< Less