From: Identification and weighting of kidney allocation criteria: a novel multi-expert fuzzy method
Patient Id | Patients’ factors | Utility score | Equity score | Total score | Patient Rank (proposed model) | |||
---|---|---|---|---|---|---|---|---|
M-U | ABO | WT | Age | |||||
1 | Yes | O | 23 | 74 | 0.293 | 0.255 | 0.548 | 3 |
2 | No | O | 5 | 8 | 0.338 | 0.079 | 0.417 | 8 |
3 | No | O | 7 | 38 | 0.135 | 0.055 | 0.190 | 23 |
4 | No | O | 30 | 7 | 0.368 | 0.134 | 0.502 | 4 |
5 | No | O | 44 | 34 | 0.135 | 0.105 | 0.240 | 21 |
6 | No | O | 20 | 44 | 0.135 | 0.073 | 0.208 | 22 |
7 | Yes | O | 46 | 35 | 0.293 | 0.285 | 0.578 | 1 |
8 | No | O | 25 | 48 | 0.368 | 0.127 | 0.495 | 5 |
9 | No | O | 28 | 24 | 0.293 | 0.083 | 0.376 | 11 |
10 | No | O | 2 | 35 | 0.338 | 0.075 | 0.413 | 9 |
11 | No | O | 17 | 32 | 0.368 | 0.069 | 0.437 | 7 |
12 | No | O | 13 | 58 | 0.368 | 0.111 | 0.479 | 6 |
13 | No | O | 10 | 9 | 0.293 | 0.059 | 0.352 | 12 |
14 | No | O | 8 | 36 | 0.293 | 0.057 | 0.350 | 13 |
15 | Yes | O | 5 | 15 | 0.293 | 0.257 | 0.550 | 2 |
16 | No | A | 1 | 34 | 0.223 | 0.095 | 0.318 | 14 |
17 | No | AB | 20 | 51 | 0.116 | 0.073 | 0.189 | 24 |
18 | No | A | 20 | 58 | 0.065 | 0.073 | 0.138 | 29 |
19 | No | B | 17 | 34 | 0.116 | 0.069 | 0.185 | 25 |
20 | No | B | 16 | 14 | 0.223 | 0.067 | 0.290 | 15 |
21 | No | AB | 13 | 6 | 0.223 | 0.063 | 0.286 | 16 |
22 | No | A | 13 | 38 | 0.223 | 0.063 | 0.286 | 17 |
23 | No | A | 11 | 46 | 0.116 | 0.061 | 0.177 | 26 |
24 | No | A | 11 | 34 | 0.065 | 0.061 | 0.126 | 30 |
25 | No | B | 11 | 56 | 0.223 | 0.061 | 0.284 | 18 |
26 | No | AB | 10 | 55 | 0.223 | 0.059 | 0.282 | 19 |
27 | No | B | 9 | 54 | 0.116 | 0.058 | 0.174 | 27 |
28 | No | A | 9 | 13 | 0.298 | 0.106 | 0.404 | 10 |
29 | No | A | 9 | 3 | 0.116 | 0.058 | 0.174 | 28 |
30 | No | AB | 8 | 39 | 0.223 | 0.057 | 0.280 | 20 |