摘要

To make an accurate and real-time prediction for flight delays, referring to the thought of fuzzy membership grade, a fuzzy immune prediction method is proposed. The concepts of "self", "nonself", "antibody", "antigen" and a membership degree function for antibody to the delayed flight set are defined. During the prediction process, through real-time monitoring changes of the environment and self-adaptive adjusting λ-cut sets, the paper chooses detectors according with the current confidence level, and overcome the limitations of the deterministic model. The simulation experiment on a domestic airport shows that the method is adaptive and can accurately predict delayed flight numbers of each period all day.

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