Research Article
A New Approach to Reducing Search Space and Increasing Efficiency in Simulation Optimization Problems via the Fuzzy-DEA-BCC
Table 5
Global matrix for geometric averages for pessimistic and optimistic scenarios.
| DMU | S1 | S2 | S3 | S4 | S5 | S6 | S7 | S8 | S9 | S10 | S11 |
Average superefficiency | Ranking | 0 | 0.1 | 0.2 | 0.3 | 0.4 | 0.5 | 0.6 | 0.7 | 0.8 | 0.9 | 1 |
| 1 | 2.210 | 2.202 | 2.192 | 2.180 | 2.166 | 2.147 | 2.121 | 2.084 | 2.027 | 2.000 | 2.000 | 2.121 | 1 | 2 | 1.323 | 1.320 | 1.317 | 1.310 | 1.300 | 1.275 | 1.239 | 1.186 | 1.119 | 1.039 | 1.000 | 1.221 | 16 | 3 | 1.040 | 1.020 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.005 | 24 | 4 | 1.054 | 1.089 | 1.126 | 1.166 | 1.208 | 1.254 | 1.303 | 1.489 | 3.464 | 3.958 | 2.833 | 1.813 | 5 | 5 | 1.414 | 1.414 | 1.414 | 1.414 | 1.414 | 1.414 | 1.414 | 1.000 | 1.000 | 1.000 | 1.000 | 1.264 | 11 | 6 | 2.236 | 2.236 | 2.236 | 2.236 | 2.236 | 2.236 | 2.236 | 2.000 | 1.711 | 1.673 | 1.446 | 2.044 | 2 | 7 | 1.007 | 1.006 | 1.005 | 1.004 | 1.002 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.002 | 25 | 8 | 1.081 | 1.102 | 1.124 | 1.147 | 1.174 | 1.199 | 1.231 | 1.272 | 1.296 | 1.311 | 1.316 | 1.205 | 18 | 9 | 1.491 | 1.476 | 1.461 | 1.445 | 1.430 | 1.406 | 1.372 | 1.295 | 1.236 | 1.153 | 1.052 | 1.347 | 10 | 10 | 1.732 | 1.751 | 1.789 | 1.897 | 1.768 | 1.784 | 1.847 | 1.980 | 2.286 | 2.139 | 2.000 | 1.907 | 4 | 11 | 1.369 | 1.377 | 1.387 | 1.399 | 1.414 | 1.871 | 1.969 | 1.958 | 1.786 | 1.825 | 1.571 | 1.630 | 7 | 12 | 1.633 | 5.523 | 3.240 | 1.958 | 1.486 | 1.414 | 1.328 | 1.263 | 1.176 | 1.079 | 1.000 | 1.918 | 3 | 13 | 1.291 | 1.309 | 1.330 | 1.354 | 1.382 | 1.414 | 1.540 | 1.700 | 1.912 | 2.006 | 2.000 | 1.567 | 8 | 14 | 1.000 | 1.000 | 1.000 | 1.005 | 1.015 | 1.037 | 1.064 | 1.098 | 1.138 | 1.188 | 1.200 | 1.068 | 22 | 15 | 1.390 | 1.427 | 1.486 | 1.620 | 1.764 | 1.903 | 2.057 | 2.255 | 2.058 | 1.921 | 2.000 | 1.807 | 6 | 16 | 1.155 | 1.153 | 1.150 | 1.147 | 1.143 | 1.139 | 1.132 | 1.124 | 1.110 | 1.078 | 1.074 | 1.128 | 21 | 17 | 1.106 | 1.099 | 1.091 | 1.081 | 1.069 | 1.054 | 1.035 | 1.009 | 1.000 | 1.000 | 1.000 | 1.049 | 23 | 18 | 1.144 | 1.145 | 1.146 | 1.147 | 1.148 | 1.150 | 1.152 | 1.154 | 1.165 | 1.214 | 1.250 | 1.165 | 19 | 19 | 1.225 | 1.225 | 1.225 | 1.225 | 1.225 | 1.225 | 1.214 | 1.240 | 1.271 | 1.304 | 1.318 | 1.245 | 14 | 20 | 1.179 | 1.183 | 1.188 | 1.194 | 1.200 | 1.208 | 1.218 | 1.244 | 1.371 | 1.387 | 1.357 | 1.248 | 13 | 21 | 1.148 | 1.149 | 1.150 | 1.151 | 1.153 | 1.155 | 1.162 | 1.169 | 1.169 | 1.160 | 1.211 | 1.162 | 20 | 22 | 1.124 | 1.127 | 1.131 | 1.136 | 1.142 | 1.149 | 1.203 | 1.260 | 1.321 | 1.372 | 1.400 | 1.215 | 17 | 23 | 1.106 | 1.116 | 1.129 | 1.145 | 1.164 | 1.189 | 1.227 | 1.308 | 1.382 | 1.466 | 1.400 | 1.239 | 15 | 24 | 1.109 | 1.112 | 1.116 | 1.125 | 1.163 | 1.211 | 1.273 | 1.342 | 1.383 | 1.442 | 1.500 | 1.252 | 12 | 25 | 1.297 | 1.303 | 1.309 | 1.316 | 1.326 | 1.342 | 1.372 | 1.472 | 1.432 | 1.341 | 1.333 | 1.349 | 9 |
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