| 遗传聚类算法及供应商信用评价 |
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| 引用本文： | 佘春雨,梁祥君.遗传聚类算法及供应商信用评价[J].三峡大学学报(自然科学版),2007,29(3):242-244. |
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| 作者姓名： | 佘春雨 梁祥君 |
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| 作者单位： | 1. 中国地质大学,管理学院,武汉,430074;武汉科技大学,武汉,430081
2. 中国地质大学,管理学院,武汉,430074 |
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| 摘 要： | 信用为客户选择供应商提供了一个衡量标准．指标体系和评价方法的选择是信用评价的关键．在建立的评价指标基础上，设计的遗传聚类算法通过对案例的强化学习和聚类分析，达到了对供应商信用分类的目的，为信用评价提供了科学的方法．实例验证了该算法的有效性．
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| 关 键 词： | 信用评价 强化学习 聚类分析 遗传算法 |
| 文章编号： | 1672-948X（2007）03-0242-03 |
| 修稿时间： | 2007-05-22 |
Algorithm of Genetic Clustering and its Application to Evaluation of Supplier Credit |
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| She Chunyu,Liang Xiangjun.Algorithm of Genetic Clustering and its Application to Evaluation of Supplier Credit[J].Journal of China Three Gorges University(Natural Sciences),2007,29(3):242-244. |
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| Authors: | She Chunyu Liang Xiangjun |
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| Abstract: | Credit provides customers a standard for choosing suppliers. The index system and method are the keys of credit evaluating. On the base of creating the index of evaluation, this paper designs the algorithm of genetic clustering, attains the aim of the credit classification of suppliers by reinforcement learning from cases and clustering analysis, and provides a scientific method for the evaluation of credit. An evaluation instance shows its validity. |
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| Keywords: | evaluation of credit reinforcement learning clustering analysis genetic algorithm |
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