## 3 Results
### Determining Criteria of Sectors and Alternative Sites
#### 3.2.2 Final Ranking of the Alternatives
Formulas (7) and (8) are used to standardize the criteria. Formula (9) allows determining the value of the ratio weighted normalized and the distances of each alternative to the positive and negative ideal points. The values of separation from positive solution (\(d^{+}\)) and Separation from negative solution (\(d^{-}\)) are calculated by using Formulas (10)-(13). Values of closeness coefficient (CC) are calculated from values of \(d^{+}\) and \(d^{-}\) by means of formula (14). The weighted normalized decision matrices indicate the highest and the lowest weighted values belong to forestry and tourism respectively (w\({}_{\text{(C6)}}\) = 0.131; w\({}_{\text{(C5)}}\) = 0.116) (Table 5). The ideal solution comprises all of best values possible of criteria, whereas the negative ideal solution consists of all worst value possible of criteria. Calculated separation from negative ideal solution (\(d^{-}\)) indicates beach area (A1), agricultural area (A3) and settlement area (A4) have the highest scores (0.56, 0.46, and 0.44 respectively); whereas they get lowest scores for separation from positive ideal solution (\(d^{+}\)) (7.47, 7.58, and 7.60 respectively). According to closeness coefficient, the beach area (A1) shows most environmental conflict as a result of titan mining (CC\({}_{\text{(A1)}}\) = 0.0703), followed by the agricultural area (CC\({}_{\text{(A3)}}\) = 0.0575), and settlement area (CC\({}_{\text{(A4)}}\) = 0.0549) (Table 6). Since the worst alternative sites have farthest distance from the ideal solution and the shortest distance from \begin{table}
\begin{tabular}{c c c c c c c c c c c} \hline \hline
**Alternative Sites** & **Decision Matrices** & **C1** & **C2** & **C3** & **C4** & **C5** & **C6** & **C7** & **C8** \\ \hline \multirow{4}{*}{A1 (Beach area)} & DM1 & L & VH & H & H & M & M & L & VL \\  & DM2 & VL & VH & VH & VH & H & M & VL & L \\ A1 (Beach area) & DM3 & VL & VH & VH & H & M & VH & VL & L \\  & DM4 & VL & L & L & M & VL & M & M & VL \\  & DM5 & M & VH & VH & VH & VH & H & M & H \\ \hline \multirow{4}{*}{A2 (Protected forest area)} & DM1 & L & M & H & L & L & M & VL & VL \\  & DM2 & L & H & L & VL & H & VH & L & VL \\  & DM3 & L & VL & VL & L & M & VH & M & M \\  & DM4 & L & M & L & M & VL & VH & M & L \\  & DM5 & L & M & M & VL & H & VH & VL & VL \\ \hline \multirow{4}{*}{A3 (Agricultural area)} & DM1 & M & M & L & M & VL & L & VL & L \\  & DM2 & VH & M & L & M & M & M & VH & L \\  & DM3 & VH & M & VL & L & VL & L & H & M \\  & DM4 & VH & M & H & L & M & L & L \\  & DM5 & VH & H & H & VL & M & L & L & L \\ \hline \multirow{4}{*}{A4 (Settlement area)} & DM1 & VL & L & M & VL & L & L & H & L \\  & DM2 & M & VL & VL & M & M & H & VH & M \\ A4 (Settlement area) & DM3 & M & L & L & M & L & M & VH & M \\  & DM4 & M & L & M & L & L & L & VH & M \\  & DM5 & H & VL & VL & M & L & M & VH & M \\ \hline \multirow{4}{*}{A5 (Industrial area)} & DM1 & M & M & VH & M & M & VH & VL & VL \\  & DM2 & VL & VL & VL & VL & VL & L & VH & VH \\ \cline{1-1}  & DM3 & VL & VL & M & L & L & M & VH & VH \\ \cline{1-1}  & DM4 & L & VL & M & M & L & VL & M & VH \\ \cline{1-1}  & DM5 & VL & L & L & H & VL & VL & H & VH \\ \hline \hline \end{tabular} Where: DM1.5 is decision matrices; C1 = Agriculture; C2 = Aquaculture; C3 = Fishing; C4 = Salt production; C5 = Tourism; C6 = Forestry; C7 = Settlement; C8 = Industry.  
\end{table} 
Table 5: Weighted normalized decision matrices. the negative ideal solution, it is necessary to pay more attention on environmental conflicts in these alternative sites.