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中国民航货运量预测规则集及其应用

李红启,简晓荣,刘寅莹,袁俊丽   

  1. (北京航空航天大学交通科学与工程学院,北京100191)
  • 收稿日期:2016-09-26 修回日期:2016-11-24 出版日期:2017-06-15 发布日期:2017-07-11
  • 作者简介:李红启(1977—),男,山东平度人,讲师,博士,研究方向为物流与供应链管理.
  • 基金资助:

    国家自然科学基金项目(71202016,71672005)

Rule set and its application in air freight volume prediction

LI Hongqi, JIAN Xiaorong, LIU Yinying, YUAN Junli   

  1. (School of Transportation Science and Engineering, Beijing University of Aeronautics and Astronautics,Beijing 100191, China)
  • Received:2016-09-26 Revised:2016-11-24 Online:2017-06-15 Published:2017-07-11

摘要:

运用粗糙集理论构造出规则集并应用于民航货运增速预测,从整个行业层面确定民航货运量发展趋向,可为民航货运资源配置提供重要参考依据。借助基于粗糙集理论的民航货运量预测流程,以1978-2014 历年数据作为样本,采用灰色关联度分析扩充样本量,经过决策表建立、预处理、规则获取与测试等环节,确定了
中国民航货运量预测规则集。结合“十三五“时期中国经济社会发展主要特征预期,认为”十三五”期间中国民航货运量的年环比增速处于5%~10%。

关键词: 民航货运量, 预测, 规则集, 粗糙集理论

Abstract:

Rough set theory is adopted to find a rule set for air freight volume prediction. Based on the prediction, the tendency of Chinese air freight volume is identified, which is important reference to allocate resources of air freight industry. The prediction procedure that combines rough set theory and the requirement of air freight volume prediction is provided. Concerning statistical data from 1978 to 2014, grey correlation analysis is used to increase the number of samples. The rule set for air freight volume prediction is attained after a series of executions involving decision table construction, completion, discretization, reduction, rule acquirement, and so on. Considering the main characteristics of Chinese economy and society during the 13th-five-year-plan period, it is predicted that the annual growth rate of air freight volume is 5%~10%.

Key words: air freight volume, prediction, rule set, rough set theory

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