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基于模糊因果聚类的编组站运营指标预测
引用本文:殷红军,李引珍. 基于模糊因果聚类的编组站运营指标预测[J]. 铁道运输与经济, 2005, 27(8): 71-73
作者姓名:殷红军  李引珍
作者单位:兰州交通大学,交通运输学院,甘肃,兰州,730070
摘    要:运用模糊因果聚类分析方法,结合铁路编组站作业的实际,选取对编组站运营指标影响较大的因素,建立基于模糊因果聚类的指标预测模型。通过对车站运营指标预测的实例分析,说明运用该方法对编组站运营指标进行预测,实际操作简单,具有一定的适用性。

关 键 词:编组站  运营指标  模糊因果聚类方法  预测模型
文章编号:1003-1421(2005)08-0071-03
收稿时间:2005-03-30
修稿时间:2005-03-30

The Forecast of Marshalling Station Operation Index based on Fuzzy Causality Clustering
YIN Hong-jun,LI Yin-zhen. The Forecast of Marshalling Station Operation Index based on Fuzzy Causality Clustering[J]. Rail Way Transport and Economy, 2005, 27(8): 71-73
Authors:YIN Hong-jun  LI Yin-zhen
Abstract:By means of fuzzy causality clustering analyzing method, combiningwith the actual situation in railway marshalling station, the paper selects somefactors that have strong influence to the operation index of marshalling stationand sets up an index forecast model based on fuzzy causality clustering.Through an analysis to the practical case in station operation index, the paperdemonstrates that the method is simple and adoptable for the forecast ofoperation index in marshalling station.
Keywords:marshalling station  operation index  fuzzy causality clusteringanalyzing method  forecast model
本文献已被 CNKI 维普 万方数据 等数据库收录!
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