摘要
提出了一种基于集对聚类分析的铁路货运量预测方法,建立了铁路货运量的集对分析聚类预测模型,结合了集对分析中的同异反模式识别的“择近原则”和聚类分析的基本思想,并利用历年铁路运量的实际数据进行了计算分析,结果表明集对聚类分析预测法是有效的.
Based on set pair analysis of railway freight volume, a forecast method is put forward. A analysis model for forecasting railway freight volurne is proposed. The past data of railway freight volume are adopted to set up the connection degrees between the classified system and the reference system. The calculated and analyzed results indicate that this method is valid and effective.
出处
《甘肃科学学报》
2006年第4期92-94,共3页
Journal of Gansu Sciences
基金
甘肃省自然科学基金(ZS022-A25-036)
兰州交通大学实验教学改革项目(405077)
关键词
集对聚类分析
联系度
货运量
预测
set pair analysis
connection degree
freight voturne
forecast
