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Grey Verhulst Model in Commercial Flights at Macau International Airport

机译:澳门国际机场商业飞行中的灰色Verhulst模型

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摘要

In this research, grounded on grey system theory, Verhulst model for forecasting the monthly number of commercial flights which arrive in Macau International Airport is established and proof-tested in model precision. The precision confirms that Verhulst is feasible in operation of commercial flights. At first, the results of model in precision match greatly the original data because the mean relative error, absolute correlation degree, and mean variance ratio reach a good grade in precision. Moreover, a case of tourists from Republic of Korea, the regression model analyzes the relationship between the number of commercial flights and tourists. Finally, the conclusion is that the number of commercial flights can predict the number of tourists in a linear regression. The Grey model can improve operation management in aviation industry and promote development of tourism.
机译:本研究基于灰色系统理论,建立了Verhulst模型来预测到达澳门国际机场的商业航班的每月数量,并进行了模型精度的检验。精度证实了Verhulst在商业飞行中是可行的。首先,由于平均相对误差,绝对相关度和平均方差比在精度上都达到了良好的等级,因此模型的精度结果与原始数据非常匹配。此外,以大韩民国游客为例,回归模型分析了商业航班数量与游客之间的关系。最后,结论是,商业航班的数量可以线性回归预测游客的数量。灰色模型可以改善航空业的运营管理,促进旅游业的发展。

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