Research Article

A Geometric Fuzzy-Based Approach for Airport Clustering

Table 5

Clustering results with prefixed number of clusters. Criterion: yearly movements.

MetricsEDFHDKD

Cluster 1 (centre: Roma FCO)
≤20%30, 19, 18, 3630, 19, 18, 3630, 19, 18, 36
20%–40%4, 10, 20, 29, 5, 22, 264, 10, 20, 29, 5, 22, 264, 10, 20, 29, 5, 22, 26
>40%9, 37, 32, 3, 34, 21, 13, 17, 1, 16, 8, 35, 33, 15, 2, 27, 25, 28, 23, 7, 12, 24, 6, 14, 11, 31, 3837, 9, 32, 3, 34, 21, 13, 17, 1, 16, 8, 35, 33, 15, 2, 27, 25, 28, 23, 7, 12, 24, 6, 14, 11, 38, 319, 32, 37, 3, 34, 21, 13, 17, 1, 16, 8, 35, 33, 15, 2, 27, 25, 28, 23, 7, 12, 24, 6, 14, 38, 11, 31

Cluster 2 (centre: Napoli Capodichino)
≤20%20, 1020, 1020, 10
20%–40%32, 9, 36, 37, 4, 26, 36, 3, 29, 22, 18, 30, 19, 26, 5, 1732, 9, 36, 37, 4, 26, 36, 3, 29, 22, 18, 30, 19, 26, 17, 5, 219, 32, 36, 37, 4, 26, 36, 3, 29, 22, 18, 30, 19, 26, 17, 5, 21, 8
>40%21, 8, 1, 33, 13, 15, 16, 27, 14, 35, 12, 7, 11, 2, 28, 31, 23, 38, 24, 68, 1, 33, 13, 15, 16, 27, 14, 35, 12, 7, 11, 2, 28, 31, 23, 38, 6, 241, 33, 13, 15, 16, 27, 14, 35, 12, 7, 11, 2, 28, 31, 23, 38, 6, 24

Cluster 3 (centre: Lamezia Terme)
≤20%17, 8, 3417, 8, 3417, 8, 34
20%–40%33, 9, 15, 26, 22, 1, 2933, 9, 15, 26, 22, 1, 2933, 9, 15, 26, 22, 1, 29
>40%21, 37, 3, 5, 20, 32, 10, 4, 14, 27, 36, 17, 30, 18, 19, 7, 12, 13, 11, 25, 16, 31, 38, 35, 28, 23, 2, 34, 621, 37, 3, 5, 20, 32, 10, 4, 14, 27, 36, 17, 30, 18, 19, 7, 12, 11, 13, 25, 16, 31, 38, 35, 28, 23, 34, 2, 637, 21, 3, 5, 20, 32, 10, 4, 14, 27, 36, 17, 30, 18, 19, 7, 12, 11, 13, 25, 16, 31, 38, 35, 28, 23, 34, 6, 2

Cluster 4 (centre: Reggio Calabria)
≤20%27, 7, 1227, 7, 1227, 7, 12
20%–40%25, 11, 15, 31, 38, 1425, 11, 15, 31, 38, 1425, 11, 15, 31, 38, 14
>40%16, 33, 13, 8, 17, 28, 23, 35, 34, 26, 9, 22, 29, 2, 24, 6, 1, 21, 5, 20, 3, 32, 10, 4, 36, 18, 19, 3033, 16, 13, 8, 17, 28, 23, 35, 34, 26, 9, 22, 29, 2, 6, 24, 1, 21, 5, 20, 3, 32, 10, 4, 36, 18, 30, 1916, 33, 13, 8, 17, 28, 23, 35, 34, 26, 9, 22, 29, 2, 6, 24, 1, 21, 5, 20, 3, 32, 10, 4, 18, 36, 30, 19