| 客户交纳电费信用与风险等级评定 |
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| 引用本文： | 谷林峰,余虎,王路,姚建刚.客户交纳电费信用与风险等级评定[J].吉首大学学报(自然科学版),2005,26(2):94-97. |
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| 作者姓名： | 谷林峰 余虎 王路 姚建刚 |
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| 作者单位： | 湖南大学电气与信息工程学院,湖南,长沙,410082;湖南大学电气与信息工程学院,湖南,长沙,410082;湖南大学电气与信息工程学院,湖南,长沙,410082;湖南大学电气与信息工程学院,湖南,长沙,410082 |
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| 摘 要： | 用电客户交纳电费信用与风险评定是供电企业保证电费债权安全性和有效性的重要手段.运用自动采集程序，从各电力公司或企业原有的营销系统和财务系统自动录入数据，再通过优化的模糊概率、神经网络程序，对客户进行交纳电费信用等级评定，建立客户交纳电费风险预警机制，并根据评价结果提出促进电费回收的分类管理措施，确保电力企业经营成果及时足额兑现.
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| 关 键 词： | 分类管理 模糊优化 信用等级评定 风险预警 |
| 文章编号： | 1007-2985（2005）02-0094-04 |
| 收稿时间： | 2005-02-01 |
| 修稿时间： | 2005年2月1日 |
Credit and Risk Rank Evaluation for Consumer Paying Electric Power Charges |
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| GU Lin-feng,YU Hu,WANG Lu,YAO Jian-gang.Credit and Risk Rank Evaluation for Consumer Paying Electric Power Charges[J].Journal of Jishou University(Natural Science Edition),2005,26(2):94-97. |
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| Authors: | GU Lin-feng YU Hu WANG Lu YAO Jian-gang |
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| Institution: | (College of Electrical and Information Engineering,Hunan University,Changsha 410083,China) |
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| Abstract: | Credit and risk rank evaluation for consumer paying electric power charges is an important means to guarantee the creditor's rights security and validity for power enterprises.This system utilizes the automatic collection procedure to gain data from power generation companies or enterprises' original marketing and financial system,and then uses optimal fuzzy probability and neural network to rank electrical fee credit for customers and establish electrical fee risk advance warning mechanism.Finally,according to the appraisal results,classification management measure is proposed to promote electrical fee recycling and guarantee power generation enterprises to fully cash their management products. |
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| Keywords: | classified management fuzzy optimization credit rank evaluation risk advance warning |
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