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非线性季节型航空公司客运收入的组合预测方法
引用本文:王斐峰,王琨,邓学钧.非线性季节型航空公司客运收入的组合预测方法[J].交通运输工程学报,2005,5(1):66-69.
作者姓名:王斐峰  王琨  邓学钧
作者单位:东南大学,交通学院,江苏,南京,210096;中国东方航空江苏有限公司,江苏,南京,211113
摘    要:针对航空公司的客运收入同时具有增长性趋势和季节波动性特征,使得客运收入的变化呈现出复杂的非线性组合特点,依据灰色预测GM(1,1)模型原理,建立客运收入预测模型,以反映其增长性趋势的特点,建立客运收入季节变动预测模型,以反映其季节波动性特点,最终形成非线性季节型客运收入组合预测模型。航空公司客运收入的预测结果表明,预测值与实际值误差小于1%,该模型有效、可行。

关 键 词:交通管理  客运收入  季节波动性  GM(1  1)模型  组合预测模型
文章编号:1671-1637(2005)01-0066-04
修稿时间:2004年10月23

Integrated prediction method of nonlinear-seasonal passenger traffic income of airlines
WANG Fei-feng,WANG Kun,DENG Xue-jun.Integrated prediction method of nonlinear-seasonal passenger traffic income of airlines[J].Journal of Traffic and Transportation Engineering,2005,5(1):66-69.
Authors:WANG Fei-feng  WANG Kun  DENG Xue-jun
Institution:WANG Fei-feng~1,WANG Kun~2,DENG Xue-jun~1
Abstract:Passenger traffic income of airlines has a dual trend of growth and seasonal fluctuation, which makes the income demonstrate a complicated nonlinear characteristic. A prediction model, based on the theory of grey prediction model GM(1,1), was introduced to reflect the characteristic of its growth trend, a seasonal change prediction model was employed to reflect the characteristic of its seasonal fluctuation, an integrated nonlinear-seasonal prediction model of passenger traffic income of airlines was proposed. Prediction results show that the error rate of actual value and test value is less than 1%, the model is feasible. 5 tabs, 1 fig, 9 refs.
Keywords:transportation management  passenger traffic income  seasonal fluctuation  GM(1  1) model  integrated prediction model  
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