| 基于主成分分析与神经网络的供应商选择问题研究 |
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| 引用本文： | 郭先超,叶建中.基于主成分分析与神经网络的供应商选择问题研究[J].物流技术,2008,27(7). |
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| 作者姓名： | 郭先超 叶建中 |
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| 作者单位： | 华东师范大学,计算机科学技术系,上海,200241 |
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| 摘 要： | 首先对供应商评价的数据进行主成分分析,把多指标转化为少数几个综合指标,然后将其作为神经网络的输入数据,对其进行分析评价。最后用实例进行验证。用这两种相结合的方法对供应商进行评价,大大简化了模型结构。
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| 关 键 词： | 供应链 供应商选择 主成分分析 神经网络 |
Research on Supplier Selection Based OH Principal Component Analysis and Neural Net-work |
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| GUO Xian-chao,YE Jian-zhong.Research on Supplier Selection Based OH Principal Component Analysis and Neural Net-work[J].Logistics Technology,2008,27(7). |
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| Authors: | GUO Xian-chao YE Jian-zhong |
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| Abstract: | The paper analyzes the data of supplier evaluation by principal component ana-lysis,transforms multi-index into several principal components,takes the data as the input-ted data of neural network,analyzes and evaluates the data.Finally,it shows an example. |
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| Keywords: | supply chain supplier selection principal component analysis neural net-work |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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