Research Article
A Geometric Fuzzy-Based Approach for Airport Clustering
Table 2
Yearly ranges (
15) for each airport coded as in Table
1.
| Airport | Criterion 1 movements | Criterion 2 passengers |
| 1 | 0–0.461 | 0–0.642 | 2 | 0–0.481 | 0–0.387 | 3 | 0–0.559 | 0–0.544 | 4 | 0–0.388 | 0–0.372 | 5 | 0–0.421 | 0–0.439 | 6 | 0–0.313 | 0–0.345 | 7 | 0–0.291 | 0–0.309 | 8 | 0–0.297 | 0–0.344 | 9 | 0–0.355 | 0–0.390 | 10 | 0–0.581 | 0–0.614 | 11 | 0–0.142 | 0–0.134 | 12 | 0–0.172 | 0–0.177 | 13 | 0–0.422 | 0–0.429 | 14 | 0–0.296 | 0–0.298 | 15 | 0–0.219 | 0–0.245 | 16 | 0–0.381 | 0–0.401 | 17 | 0–0.237 | 0–0.249 | 18 | 0–0.538 | 0–0.534 | 19 | 0–0.804 | 0–0.810 | 20 | 0–0.632 | 0–0.654 | 21 | 0–0.415 | 0–0.390 | 22 | 0–0.458 | 0–0.465 | 23 | 0–0.312 | 0–0.341 | 24 | 0–0.311 | 0–0.286 | 25 | 0–0.388 | 0–0.386 | 26 | 0–0.387 | 0–0.399 | 27 | 0–0.314 | 0–0.387 | 28 | 0–0.465 | 0–0.432 | 29 | 0–0.481 | 0–0.511 | 30 | 0–0.801 | 0–0.843 | 31 | 0–0.180 | 0–0.208 | 32 | 0–0.625 | 0–0.607 | 33 | 0–0.219 | 0–0.218 | 34 | 0–0.230 | 0–0.201 | 35 | 0–0.314 | 0–0.318 | 36 | 0–0.514 | 0–0.483 | 37 | 0–0.415 | 0–0.429 | 38 | 0–0.172 | 0–0.194 |
|
|