# Occupational Risk Assessment of Wind Turbines in Bangladesh
## 6 Result and Discussions
### Risk Assessment and Risk Prioritizing
\begin{table}
\begin{tabular}{c c} \hline \hline
**Linguistic Term** & **Fuzzy Number (Triangular)** \\ \hline Very poor (VP) & (0, 0, 1) \\ Poor (P) & (0, 1, 3) \\ Moderately poor (MP) & (1, 3, 5) \\ Fair (F) & (3, 5, 7) \\ Moderately good (MG) & (5, 7, 9) \\ Good (G) & (7, 9, 10) \\ Excellent (ET) & (9, 10, 10) \\ \hline \hline \end{tabular}
\end{table} 
Table 12: Linguistic relations and triangular fuzzy value [34]. \begin{table}
\begin{tabular}{c c c c c c c c c c} \hline \hline \multirow{2}{*}{**Operational**} & \multicolumn{8}{c}{**Expert Opinion**} \\ \cline{2-10}  & \multicolumn{4}{c}{**Consequence (C)**} & \multicolumn{4}{c}{**Exposure (E)**} & \multicolumn{4}{c}{**Probability (P)**} \\ \cline{2-10}  & **Exp1** & **Exp2** & **Exp3** & **Exp1** & **Exp2** & **Exp3** & **Exp1** & **Exp2** & **Exp3** \\ \hline HIO1 & PR & PR & VP & G & MG & G & ET & ET & ET \\ HIO2 & MG & G & MG & G & G & ET & G & ET \\ HIO3 & PR & MP & MP & G & GT & ET & ET & ET \\ HIO4 & G & MG & MG & G & MG & G & G & G \\ HIO5 & MP & PR & MP & G & GT & ET & ET & ET \\ HIO6 & F & MP & MP & G & ET & ET & ET & ET \\ HIO7 & F & MP & GP & GT & ET & ET & G & ET \\ HIO8 & MPF & MP & G & MG & G & GT & MG & G \\ HIO9 & MG & F & MG & G & MG & G & G & MG \\ HIO10 & F & MG & G & G & MG & G & GT & ET \\ HIO11 & MG & MG & G & MG & G & GT & ET & ET \\ HIO12 & MP & MP & PM & G & GT & GT & GT & GT \\ HIC13 & F & MG & MG & MG & G & MG & G & GT & GT \\ HIC14 & MG & G & G & G & GT & ET & ET & GT \\ HIC15 & F & MP & F & MG & MG & MG & G & MG & G \\ HIC16 & MP & F & MP & F & MG & MG & MG & G & G \\ HIC17 & F & MG & MG & G & G & MG & F & MG & F \\ HIC18 & F & F & MG & MG & G & GT & GT & GT \\ HIC18 & F & MG & MG & G & GT & GT & GT & GT \\ HIC18 & F & MG & MG & G & GT & GT & GT & GT \\ HIC19 & PR & PR & PR & G & ET & ET & ET & GT & GT \\ HIC19 & MG & MG & G & G & GT & GT & GT & GT \\ HIC20 & G & MG & MG & MG & G & G & GT & ET & ET \\ \hline \hline \end{tabular}
\end{table} 
Table 15: Linguistic assessment of hazards associated with wind turbine operation. \begin{table}
\begin{tabular}{c c c c c c c c c c} \hline \hline \multirow{2}{*}{**Construcational**} & \multicolumn{8}{c}{**Expert Opinion**} \\ \cline{2-10}  & \multicolumn{4}{c}{**Consequence (C)**} & \multicolumn{4}{c}{**Exposure (E)**} & \multicolumn{4}{c}{**Probability (P)**} \\ \cline{2-10}  & **Exp1** & **Exp2** & **Exp3** & **Exp1** & **Exp2** & **Exp3** & **Exp1** & **Exp2** & **Exp3** \\ \hline HIC1 & PR & MP & MP & G & ET & G & ET & ET & ET \\ HIC2 & F & MG & G & G & MG & MG & G & ET & ET \\ HIC3 & MG & F & MG & G & MG & G & GT & GT & G \\ HIC4 & F & M & MG & MG & G & G & G & GT & GT \\ HIC5 & G & MG & G & G & MG & MG & G & G & MG \\ HIC6 & F & MG & MG & MG & G & MG & G & G & MG \\ HIC7 & F & MG & G & G & MG & MG & G & G & GT \\ HIC8 & PR & MP & MP & G & GT & GT & GT & GT & GT \\ HIC9 & MP & PR & PM & G & GT & GT & GT & GT & GT \\ HIC10 & F & PM & MP & G & GT & ET & ET & ET & GT \\ HIC12 & MP & PR & PR & G & ET & GT & GT & GT \\ HIC13 & F & MG & MG & MG & G & G & GT & GT & GT \\ HIC14 & MG & G & G & G & GT & ET & ET & GT \\ HIC15 & F & MP & F & MG & MG & MG & G & MG & G & G \\ HIC16 & MP & F & MP & F & MG & MG & G & GT & GT \\ HIC16 & MP & F & MP & F & MG & MG & G & GT & GT \\ HIC17 & F & MG & MG & MG & G & GT & GT & GT & GT \\ HIC18 & F & MG & MG & G & MG & MG & G & GT & GT \\ HIC19 & PR & PR & PR & G & ET & ET & ET & GT & GT \\ HIC20 & PR & MP & MP & G & MG & G & ET & ET & ET \\ \hline \hline \end{tabular}
\end{table} 
Table 14: Linguistic assessment of hazards associated with wind turbine construction. All linguistic relations were converted into triangular fuzzy numbers, and the combined decision matrix is presented in Table 17 for the transportation stage. As an example, experts assessed the hazard \"HIT1\" for the consequence section by using linguistic relations (F, MG, F). From Table 13, the corresponding fuzzy values are (3, 5, 7), (5, 7, 9), and (3, 5, 7) respectively. For the combined decision matrix, \(l\) = min (3, 5, 3) = 3; \(m\) = average (5, 7, 5) = 5.67; and \(u\) = max (7, 9, 7) = 9.