Research Article
A Multistakeholder Approach to the Airport Gate Assignment Problem: Application of Fuzzy Theory for Optimal Performance Indicator Selection
Table 7
Ranking of very high-influence clusters.
| PI | SIG | AVA | GEN | GW | Criterion |
| Number of flights assigned to remote gates | 3.4566 | 4.0351 | 3.2843 | 0.1130 | Airport/airline | Passenger walking time | 3.2137 | 3.5071 | 3.3443 | 0.1055 | Passenger | Baggage transit distance | 3.2137 | 3.5071 | 2.9786 | 0.1017 | Passenger | Average passenger walking distance | 2.7228 | 3.6391 | 3.2249 | 0.1005 | Passenger | Daily towing moves | 3.2137 | 3.5071 | 2.8542 | 0.1004 | Airport/airline | Total flight delay | 3.4566 | 3.1084 | 2.8567 | 0.0988 | Airport/Airline | Taxiing time | 3.0897 | 3.3751 | 2.7323 | 0.0964 | Airport/airline | Passenger waiting time | 3.2112 | 3.2404 | 2.7372 | 0.0963 | Passenger | Variance of the idle time | 3.0922 | 3.2430 | 2.6104 | 0.0938 | Robustness | Number of consecutive flights | 3.0897 | 3.2404 | 2.6104 | 0.0937 | Airport/airline |
|
|
Note. PI = performance indicator; SIG = significance; AVA = availability; GEN = generalisability; GW = global weight.
|