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On the other hand, quantitative risk analysis attempts to assign numeric values of risks, either by using empirical data or by quantifying qualitative assessments (Palisade 2016).
To the highest levels of exposure times and magnitudes always correspond the highest values of risks (Table 3) but this association was considered significant only for wood dust (p = 0.001).
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Therefore, the resulting risk levels denote numerical values of risk.
The values of Risk(St angle, Risk(St) v and Risk(St tra are shown in Table 2.
its a rare place that allows everyone to do that and our results speak to the values of risk taking, openness and transparency.
This can be seen more explicitly in Figure5, in which betweenness values are plotted against the equilibrium values of risk.
It also highlights the sources of uncertainty while conducting and suggesting values of risk parameter in FPSA study.
This paper applies fuzzy linguistic theory to convert the subjective cognition of experts into an information entity to obtain the numerical values of risk factors.
It is noted that since the AADT for rural areas is much lower, however, the values of risk reduction (VRR) obtained for the two environments are essentially the same (about $6.3million in 2007 values).
The results of two methods when compared show that fuzzy approach avoids the duplication of RPNs and helps more to convert cognition of experts into information to get values of risk factors.
At present settings B1 and B2 have been assigned equal values of risk in the construction of the ICA score although future work could seek to refine this modelling procedure.
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