Research Article

Combinatorial Efficiency Evaluation: The Knapsack Problem in Data Envelopment Analysis

Table 6

The data of Example 2.

ProjectInputO1O2O3O4O5Efficiency

184.2067.5370.8262.6444.9146.280.6543
290.0058.9462.8657.4742.8445.640.5512
350.2022.2719.686.7310.995.920.3360
467.5047.3247.0521.7520.8219.640.5283
575.4048.9648.4834.9032.7326.210.5064
690.0058.8877.1635.4229.1126.080.6148
787.4050.1058.2036.1232.4618.900.5060
888.8047.4649.5446.8924.5436.350.4204
995.9055.2661.0938.9347.7129.470.5177
1077.5052.4055.0953.4519.5246.570.5431
1176.5055.1355.5455.1323.3646.310.5618
1247.5032.0934.0433.5710.6029.360.5525
1358.5027.4939.0034.5121.2525.740.5045
1495.0077.1783.3560.0141.3751.910.6539
1583.8072.0068.3225.8436.6425.840.6518
1635.4039.7434.5438.0115.7933.060.8542
1732.1038.5028.6551.1859.5948.821.0000
1846.7041.2347.1840.0110.1838.860.7618
1978.6053.0251.3442.4817.4246.300.5179
2054.1019.9118.9825.498.6627.040.3523
2174.4050.9653.5655.4730.2354.720.6022
2282.1053.3646.4749.7236.5350.440.5068
2375.6061.6066.5964.5439.1051.120.6754
2492.3052.5655.1157.5839.6956.490.5003
2568.5031.2229.8433.0813.2736.750.4024
2669.3054.6458.0560.0331.1646.710.6633
2757.1050.4053.5853.0626.6848.850.7420
2880.0030.7632.4536.6325.4534.790.3478
2972.0048.9754.9751.5223.0245.750.5784
3082.9059.6863.7854.8015.9444.040.5505
3144.6048.2855.5853.307.6136.740.9459
3254.5039.7851.6935.105.3029.570.6393
3352.7024.9329.7228.728.3823.450.4299
3428.0022.3233.1218.944.039.580.7973
3536.0048.8353.4140.8210.4533.721.0000
3664.1061.4570.2258.2619.5349.330.7708
3766.4057.7872.1043.8316.1431.320.7391