@inproceedings{15b2314186184d8588a21db65d313f04,
title = "A fuzzy decision tree model for airport terminal departure passenger traffic forecasting",
abstract = "The airport terminal departure passenger traffic forecast is the key premise for the airport passenger traffic management system to control and guide passenger traffic flow. However, because the flow is affected by many factors, it is strongly random and nonlinear; so, it can be difficult to forecast traffic accurately. The fuzzy decision tree approach is developed based on the decision tree method combined with the fuzzy mathematics theory. This approach is mainly used in the field of decision making. This paper applies the thinking of decision to forecast and applies the improved fuzzy decision tree method to terminal departure passenger traffic forecast. The case analysis indicates that a more concise and accurate forecast can be achieved using the fuzzy decision tree approach.",
keywords = "Decision tree, Fuzzy mathematics theory, Terminal passenger traffic forecast",
author = "Shaowu Cheng and Qiu Mu and Haibo Zhang and Yaping Zhang",
year = "2014",
doi = "10.1061/9780784413623.002",
language = "英语",
isbn = "9780784413623",
series = "CICTP 2014: Safe, Smart, and Sustainable Multimodal Transportation Systems - Proceedings of the 14th COTA International Conference of Transportation Professionals",
publisher = "American Society of Civil Engineers (ASCE)",
pages = "11--17",
booktitle = "CICTP 2014",
address = "美国",
note = "14th COTA International Conference of Transportation Professionals: Safe, Smart, and Sustainable Multimodal Transportation Systems, CICTP 2014 ; Conference date: 04-07-2014 Through 07-07-2014",
}