| 铁路客运服务需求的模糊聚类分析 |
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| 引用本文： | 余少鹤,李夏苗,付延冰,史丰收.铁路客运服务需求的模糊聚类分析[J].中国铁道科学,2004,25(3):122-125. |
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| 作者姓名： | 余少鹤 李夏苗 付延冰 史丰收 |
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| 作者单位： | 1. 中南大学,交通运输工程学院,湖南,长沙,410075;南昌铁路局,江西,南昌,330002
2. 中南大学,交通运输工程学院,湖南,长沙,410075 |
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| 摘 要： | 为了掌握客运服务各要素在铁路客运服务需求中的重要程度,提出按其重要程度归类的ISODATA模糊聚类方法。根据近期客运市场调查数据,确定客运服务要素的4个特征指标。运用ISODATA模糊聚类方法对21个客运服务要素进行聚类,并对聚类效果进行评价。把21个服务要素按其重要程度分成5类,由21个客运服务要素归类结果,分析确定要素在客运服务市场中的地位。
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| 关 键 词： | 客运服务 模糊聚类 模糊c划分 聚类中心 需求分析 |
| 文章编号： | 1001-4632(2004)03-0122-04 |
| 修稿时间： | 2003年3月17日 |
Fuzzy Clustering Analysis of Railway Passenger Transport Service Demand |
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| YU Shao-he.Fuzzy Clustering Analysis of Railway Passenger Transport Service Demand[J].China Railway Science,2004,25(3):122-125. |
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| Authors: | YU Shao-he |
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| Institution: | YU Shao-he~ |
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| Abstract: | In order to grasp the important level of passenger transport service ingredients, fuzzy clustering (method) of ISODATA is used to classify passenger transport service ingredients according to their level of (importance). Based on the latest survey of passenger transport marketing, 4 characteristic indices of passenger transport service ingredients are determined. The paper uses the fuzzy clustering method of ISODATA to (categorize) 21 passenger transport service ingredients and the result is assessed. Then 21 service ingredients are classified into 5 species according to their importance levels. According to the result of clustering, the position of these ingredients on the passenger service market is determined. |
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| Keywords: | Passenger transport service Fuzzy clustering Fuzzy c-demarcation Clustering center Demand analysis |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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