Results 291 to 300 of about 542,934 (330)

Designing and exploring risk matrices with MACBETH

International Journal of Information Technology & Decision Making, 2018
Risk matrices are adopted and recommended by many organizations, but the way they are usually constructed violates some basic theoretical principles, giving rise to inconsistent risk ratings. This paper studies ways in which multiple criteria and portfolio decision analyses can improve the design and deployment of risk matrices, using MACBETH (the ...
Mónica D. Oliveira, Carlos A. Bana e Costa, Diana F. Lopes   +2 more
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Designing risk matrices to avoid risk ranking reversal errors

Process Safety Progress, 2015
Risk matrices are used in process safety to rate and rank risks of hazardous events to help with decision making on risk reduction for processes. For example, commonly they are used in process hazard analysis to rate the risks of hazard scenarios. Flaws in their theoretical framework and mathematical inconsistencies in their use have been identified in
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A fuzzy mapping framework for risk aggregation based on risk matrices

Journal of Risk Research, 2016
Extant research has focused upon assessing individual risks with the aid of risk matrices. Although risk aggregation is an important issue in risk management, aggregation of risks measured by risk matrices remains unresolved despite the wide usage of risk matrices. This paper proposes a framework to resolve the problem.
Chunbing Bao, Jianping Li, Dengsheng Wu
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Improving the use of risk matrices at NASA

2018 IEEE Aerospace Conference, 2018
A risk matrix, commonly a 5 × 5 scorecard with dimensions for likelihood of a problem and consequence if the problem occurs, is a popular tool for communicating project risks. The NASA version [1] is a frequently cited reference for risk managers from many application fields.
Robin L. Dillon, Gerald A. Klein, Edward W. Rogers, Christopher J. Scolese   +3 more
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Calibration of risk matrices for process safety

Journal of Loss Prevention in the Process Industries, 2015
Abstract Risk matrices are used to rate and rank risks of hazardous events for processes. They provide for the lookup of the risk level for an event using its severity and likelihood levels which are estimated subjectively. Risk levels are associated with requirements for risk reduction to achieve tolerable risk.
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Soft Computing Method in Events Risks Matrices

2021
The existing normative definition of risk, based on probability theory, is a particular definition of risks and does not correspond to the variety of measures for calculating life risks. Calculating risks in other fuzzy measures: likelihood, possibility, confidence, necessity, opens up new possibilities to assign numerical values to objects and complex
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Cities at risk: spatial matrices of resilience and security

TERRITORIO, 2022
In the present ‘age of risk’, urban resilience is certainly a key issue, as the capacity of the system to continue operating in case of exceptional events, and, in ordinary conditions, the flexibility of the network to adapt to functional changes. In recent years, the increased sensitivity to the issue of security seems to reply at an individual scale ...
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Developing and Using Risk Matrices

2007
Risk Matrices have long been adopted in parts of the systems safety community as a simple means of categorisation of risk, yet they are often developed and used incorrectly leading to confusion and poor safety management.
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Analysis of disease risks using ancillary risk factors, with application to job–exposure matrices

Statistics in Medicine, 1992
AbstractEpidemiological studies of disease can make use of ancillary risk‐factors, acquired from individuals outside the disease study. For example, several disease studies might use the same job‐exposure matrix to quantify risks due to occupational exposure to industrial agents.
W R, Gilks, S, Richardson
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Actuarial Risk Matrices: The Nearest Positive Semidefinite Matrix Problem

North American Actuarial Journal, 2017
The manner in which a group of insurance risks are interrelated is commonly presented via a correlation matrix. Actuarial risk correlation matrices are often constructed using output from disparate modeling sources and can be subjectively adjusted, for example, increasing the estimated correlation between two risk sources to confer reserving prudence ...
Stefan Cutajar, Helena Smigoc, Adrian O’Hagan   +2 more
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