基于灰色关联逼近理想解排序法的航班时刻表评估

准确评估航班时刻表，有助于有针对性的制定航班时刻优化策略，对缓解航班时刻的供需矛盾，减少航班延误，具有重要意义。针对航班时刻表的评估问题，首先，基于现有评估指标集，引入了滑行时间评估指标；其次，使用分类算法预测并计算了评估指标；然后，提出了一种基于灰色关联逼近理想解排序法的航班时刻表评估方法；最后，以北京首都国际机场为例，与现有评估方法进行了对比分析。结果表明：引入滑行时间评估指标，可以提高灰色关联逼近理想解排序法对航班时刻表的优劣区分能力；灰色关联逼近理想解排序法能避免现有的基于帕累托面的方法在样本较少时不能有效评估航班时刻表的问题，具有更强的普适性。

Flight schedule evaluation based on Technique for Order Preferenceby Similarity to Ideal Solution-Grey Correlation

Accurate evaluation of flight schedule is helpful to formulate the optimization strategy of flight schedule, alleviate the contradiction between supply and demand of flight schedule, and reduce flight delay. For the evaluation of flight schedule, firstly, based on the existing evaluation index set, the taxiing time evaluation index was introduced. Secondly, the classification algorithm was used to predict and calculate the evaluation index. Thirdly, an evaluation method of flight schedule based on Technique for Order Preferenceby Similarity to Ideal Solution-Grey Correlation was proposed. Finally, taking Beijing Capital International Airport as an example, the paper made a comparative analysis with the existing evaluation method. The results show that the introduction of taxiing time evaluation index can improve the ability to distinguish the advantages and disadvantages of Technique for Order Preferenceby Similarity to Ideal Solution-Grey Correlation, this method can avoid the problem that the existing method based on Pareto surface can not effectively evaluate the flight schedule when the samples are small, and has stronger universality.