| 基于联系度的铁路货运量集对分析聚类预测 |
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| 引用本文： | 朱昌锋,王庆荣. 基于联系度的铁路货运量集对分析聚类预测[J]. 甘肃科学学报, 2006, 18(4): 92-94 |
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| 作者姓名： | 朱昌锋 王庆荣 |
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| 作者单位： | 1. 兰州交通大学,交通运输学院,甘肃,兰州,730070
2. 兰州交通大学,信息与电气工程学院,甘肃,兰州,730070 |
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| 基金项目： | 甘肃省自然科学基金 , 兰州交通大学校科研和教改项目 |
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| 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.
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| 关 键 词： | 集对聚类分析 联系度 货运量 预测 |
| 文章编号： | 1004-0366（2006）04-0092-03 |
| 收稿时间： | 2005-10-18 |
| 修稿时间： | 2005-10-18 |
A Forecast Based on Set Pair Analysis of Railway Freight Volume |
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| ZHU Chang-feng,WANG Qing-rong. A Forecast Based on Set Pair Analysis of Railway Freight Volume[J]. Journal of Gansu Sciences, 2006, 18(4): 92-94 |
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| Authors: | ZHU Chang-feng WANG Qing-rong |
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| Affiliation: | 1. School of Traffic and Transportation, Lanzhou JiaoTong University, Lanzhou 730070, China 2. School of Information and Electrical Engineering,, Lanzhou Jiaotong University, Lanzhou 730070, China |
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| Abstract: | 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. |
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| Keywords: | set pair analysis connection degree freight voturne forecast |
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