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The evaluation for male and female separately showed no clear difference between the evaluated parameters.
Comparison between the evaluated correlation results is done on the fly after every new correlation output.
Correlations between the evaluated parameters were obtained using Pearson's correlation coefficient (r).
An excellent matching is observed between the evaluated results from both software packages.
Figure 4 Comparison between the evaluated weights using the simplified piecewise linear functions and the exponential functions.
The results of the simulations show that there are small differences between the evaluated cases regarding effectiveness.
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Sensitivity analysis is useful in providing an overall view of the complex relationships between the evaluating attributes inherent in the decision-making process.
Figure 3 illustrates the overlap between predictions by the evaluated methods using Venn diagrams.
The participation of each part of the system differs between the scenarios evaluated.
Due to this, the >90% homology between the two evaluating methods can be considered most satisfactory.
The correlations between the variables were evaluated using the Spearman rank correlation test.
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Justyna Jupowicz-Kozak
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