Research Article
Developing Common Set of Weights with Considering Nondiscretionary Inputs and Using Ideal Point Method
Table 3
The data of 20 bank branches.
| DMUs | Discretionary inputs | Nondiscretionary inputs | Outputs | X1 | X2 | Z1 | Y1 | Y2 |
| 1 | 96 | 86 | 64 | 30 | 145 | 2 | 75 | 88 | 1.2 | 0.001 | 175 | 3 | 77 | 85 | 0.4 | 11 | 113 | 4 | 91 | 93 | 2.3 | 10 | 128 | 5 | 89 | 83 | 68 | 9 | 101 | 6 | 102 | 97 | 0.8 | 7 | 82 | 7 | 96 | 90 | 6.5 | 47 | 154 | 8 | 85 | 92 | 2.3 | 11 | 54 | 9 | 106 | 84 | 20.1 | 43 | 179 | 10 | 107 | 95 | 1.4 | 9 | 117 | 11 | 94 | 78 | 49 | 81 | 37 | 12 | 78 | 89 | 1.7 | 11 | 124 | 13 | 102 | 107 | 0.7 | 30 | 185 | 14 | 82 | 92 | 1.4 | 28 | 51 | 15 | 77 | 92 | 1.7 | 6 | 28 | 16 | 89 | 85 | 23.5 | 15 | 85 | 17 | 84 | 104 | 5.4 | 15 | 109 | 18 | 94 | 91 | 1.9 | 13 | 72 | 19 | 97 | 95 | 3.5 | 13 | 129 | 20 | 82 | 100 | 1.2 | 29 | 150 |
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