2012
DOI: 10.1080/13669877.2011.634514
|View full text |Cite
|
Sign up to set email alerts
|

Improving risk matrices: the advantages of logarithmically scaled axes

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
81
0
1

Year Published

2012
2012
2024
2024

Publication Types

Select...
3
3
1

Relationship

0
7

Authors

Journals

citations
Cited by 78 publications
(82 citation statements)
references
References 6 publications
0
81
0
1
Order By: Relevance
“…Indeed, the oft observed coloring along diagonal bands, as demonstrated in Figure 3 and Figure 4, is in better agreement with the additive than with the multiplicative scores: the additive scores present equal risk along the diagonals from the upper left to the lower right cells of the matrix (see figure 4). Levine (2012) uses this as an argument to advocate logarithmic scaling.…”
Section: Risk Scores and Scalingmentioning
confidence: 99%
See 3 more Smart Citations
“…Indeed, the oft observed coloring along diagonal bands, as demonstrated in Figure 3 and Figure 4, is in better agreement with the additive than with the multiplicative scores: the additive scores present equal risk along the diagonals from the upper left to the lower right cells of the matrix (see figure 4). Levine (2012) uses this as an argument to advocate logarithmic scaling.…”
Section: Risk Scores and Scalingmentioning
confidence: 99%
“…It should be noted that in earlier publications, notably Cox (2008), and Levine (2012), risk is separately defined as Risk=probability × consequence or a similar function. The essence of Cox' analysis is that the risk matrix should show "logical compatibility with quantitative risks".…”
Section: Defining Risk In the Framework Of The Risk Matrixmentioning
confidence: 99%
See 2 more Smart Citations
“…This analysis provides an alternative to the use of risk matrices, which are often used by homeland security operators when conducting a risk assessment under the above constraints. Risk matrices have many methodological weaknesses and are poor tools for informing risk management and other resource allocation decisions, though there are some exceptions …”
Section: Discussion Lessons Learned and Conclusionmentioning
confidence: 99%