Terminal departure passenger traffic forecast based on association rule

Terminal departure passenger traffic is the basis of dynamic allocation of passenger service resources. This article applies association rule to study the relationship between the departure passenger traffics of various airlines and combine it with fuzzy theory to construct a table of airlines’ daily departure passenger traffics. This table can be used to deduce terminal departure passenger traffics of other airlines. Compared with the multiple regression model, this method has incomparable advantages in data acquisition, and the process is simple and easy to operate.