| 基于模糊聚类分析的电力客户信用评价算法 |
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| 引用本文： | 李频.基于模糊聚类分析的电力客户信用评价算法[J].航空计测技术,2010,30(1):18-21,34. |
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| 作者姓名： | 李频 |
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| 作者单位： | 池州供电公司,安徽池州247000 |
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| 摘 要： | 通过对模糊聚类算法的分析，针对电力客户信用分类的特征，提出了基于模糊聚类分析的电力客户信用评价算法。得到了不同客户群的聚类中心以及客户的隶属度矩阵，为客户群的特征分析提供了量化依据。试验对比结果表明，本文方法得到了满意的客户聚类及分类结果。
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| 关 键 词： | 模糊聚类 电力系统 客户信用 评价 |
Evaluation Algorithms of Customer Credit Rank of Electric Power System based on Fuzzy Clustering |
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| LI Pin.Evaluation Algorithms of Customer Credit Rank of Electric Power System based on Fuzzy Clustering[J].Aviation Metrology & Measurement Technology,2010,30(1):18-21,34. |
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| Authors: | LI Pin |
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| Institution: | LI Pin (Chizhou Electric Power Company, Chizou 247000, China) |
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| Abstract: | This paper evaluates electric power system customer credit rank based on fuzzy clustering method. Fuzzy clustering algorithms and feathers of electric power system customer credit rank are analyzed, a method of electric power system customer credit rank evaluation based on fuzzy clustering algorithms is proposed. Experimental results by comparison show that this method gets satisfactory clustering and classification re- sults. |
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| Keywords: | fuzzy clustering electric power system customer credit rank evaluation |
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