## 5 Case Study
### Weights of the Subcriteria of the Criterion \"Professional Profile\"  
Table 5 presents the comparisons alongside the subcriteria of the \"Professional Profile\" criterion with greater weight, considering the analyses of the three DMs.  
We highlight that the subcriteria that would present values of weights equal to zero, after analysis of a given DM, assumed 1% of the lowest subsequent value, a procedure explained and proposed by [PERSON] et al. (2016) to avoid zero-weight criteria which would be excluded from the decision-making process.  
The consolidated weight of the subcriteria was obtained based on the average of the evaluations of the three DMs, making the process of elicitation of the importance of the criteria democratic and transparent. It is possible to observe that the subcriteria with greater importance after analysis of the specialists were Loyalty (P11), Decision Ability (P2), and Sense of Discipline (P10), making up approximately 50% of the total weight of the criterion \"Professional Profile\".  
\begin{table}
\begin{tabular}{c c c c c c c c c c c c c c c c} \hline \hline \multicolumn{1}{c}{\multirow{2}{*}{\
\begin{tabular}{c} **Decision-** \\ **Makers** \\ \end{tabular} }} & \multicolumn{1}{c}{\multirow{2}{*}{**P1**}} & \multicolumn{1}{c}{\multirow{2}{*}{**P2**}} & \multicolumn{1}{c}{\multirow{2}{*}{**P3**}} & \multicolumn{1}{c}{\multirow{2}{*}{**P4**}} & \multicolumn{1}{c}{\multirow{2}{*}{**P5**}} & \multicolumn{1}{c}{\multirow{2}{*}{**P6**}} & \multicolumn{1}{c}{\multirow{2}{*}{**P7**}} & \multicolumn{1}{c}{\multirow{2}{*}{**P8**}} & \multicolumn{1}{c}{\multirow{2}{*}{**P9**}} & \multicolumn{1}{c}{\multirow{2}{*}{**P10**}} & \multicolumn{1}{c}{\multirow{2}{*}{**P11**}} & \multicolumn{1}{c}{\multirow{2}{*}{**P12**}} & \multicolumn{1}{c}{\multirow{2}{*}{**Sum**}} & \multicolumn{1}{c}{\multirow{2}{*}{**Normalization**}} & \multicolumn{1}{c}{\multirow{2}{*}{
\begin{tabular}{c} **Consolidated** \\ **Weight** \\ \end{tabular} }} \\ \hline \multirow{11}{*}{DM1} & P1 & 0 & \(-1\) & 0 & 1 & \(-1\) & 1 & 1 & 1 & \(-1\) & \(-1\) & \(-1\) & \(-2\) & 0.32 & 5.62\% \\  & P2 & 1 & 0 & 1 & 1 & 1 & 0 & 0 & 0 & 0 & 0 & 1 & 6 & 0.74 & 16.48\% \\  & P3 & 0 & \(-1\) & 0 & \(-1\) & 1 & 1 & \(-1\) & \(-1\) & \(-1\) & \(-1\) & \(-2\) & 0 & \(-6\) & 0.11 & 3.22\% \\  & P4 & \(-1\) & \(-1\) & 1 & 0 & 1 & \(-1\) & \(-1\) & \(-1\) & \(-1\) & \(-2\) & \(-1\) & \(-7\) & 0.05 & 2.37\% \\  & P5 & 1 & \(-1\) & \(-1\) & \(-1\) & 0 & 1 & \(-1\) & \(-1\) & \(-1\) & \(-1\) & \(-1\) & \(-7\) & 0.05 & 3.38\% \\  & P6 & \(-1\) & \(-1\) & \(-1\) & 1 & 1 & 0 & \(-1\) & \(-1\) & \(-1\) & 0 & \(-1\) & \(-1\) & \(-8\) & 0.0005 & 2.02\% \\  & P7 & \(-1\) & 0 & 1 & 1 & 1 & 1 & 0 & 1 & 0 & 0 & 0 & 1 & 5 & 0.68 & 12.09\% \\  & P8 & \(-1\) & 0 & 1 & 0 & 1 & 1 & \(-1\) & 0 & \(-1\) & \(-1\) & \(-1\) & 0 & \(-2\) & 0.32 & 4.10\% \\  & P9 & 1 & 0 & 1 & 1 & 1 & 1 & 0 & 1 & 0 & 0 & \(-1\) & 0 & 5 & 0.68 & 9.56\% \\  & P10 & 1 & 0 & 1 & 1 & 1 & 0 & 0 & 1 & 0 & 0 & \(-1\) & 0 & 4 & 0.63 & 13.26\% \\  & P11 & 1 & 0 & 2 & 2 & 1 & 1 & 0 & 1 & 1 & 1 & 0 & 1 & 11 & 1.00 & 19.73\% \\  & P12 & 1 & \(-1\) & 0 & 1 & 1 & 1 & \(-1\) & 0 & 0 & \(-1\) & 0 & 1 & 0.47 & 8.17\% \\ \hline \multirow{11}{*}{DM2} & P1 & 0 & \(-1\) & 0 & 1 & \(-1\) & 1 & 1 & 1 & \(-1\) & \(-1\) & \(-1\) & \(-1\) & \(-2\) & 0.23 & \\  & P2 & 1 & 0 & 1 & 1 & 1 & 1 & 0 & 0 & 0 & 0 & 0 & 1 & 6 & 0.85 & \\  & P3 & 0 & \(-1\) & 0 & 0 & 1 & 1 & 1 & \(-1\) & \(-1\) & \(-1\) & \(-1\) & 0 & 0 & 0.38 & \\  & P4 & \(-1\) & \(-1\) & 0 & 0 & 1 & \(-1\) & \(-1\) & 0 & 1 & \(-1\) & \(-1\) & \(-1\) & \(-5\) & 0.0002 \\  & P5 & 1 & \(-1\) & \(-1\) & \(-1\) & 0 & 1 & \(-1\) & 1 & 0 & 0 & \(-1\) & \(-1\) & \(-3\) & 0.15 & \\  & P6 & \(-1\) & \(-1\) & \(-1\) & 1 & \(-1\) & 0 & 1 & \(-1\) & 1 & 0