| 基于智能信息处理的供应链绩效评价方法 |
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| 引用本文： | 郑培,万炜.基于智能信息处理的供应链绩效评价方法[J].湖南农业大学学报(自然科学版),2011(5):119-124. |
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| 作者姓名： | 郑培 万炜 |
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| 作者单位： | （湖南大学 工商管理学院，湖南 长沙410082） |
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| 摘 要： | 从软计算的角度出发，比较分析相关供应链绩效评价模型，结果显示不同处理方法的联合将在供应链绩效评价中保持较高的准确度。结合某供应链绩效案例，进行基于智能信息处理的供应链绩效评价方法仿真，结果表明，通过粗糙集约简和模糊综合评估的融合，可显著缩小数据处理规模，降低评估模型的计算复杂度，同时克服模糊评估过度依赖专家知识的缺点。通过粗糙集约简和BP神经网络的融合，可降低BP网络的设计复杂度，克服神经网络训练时间长、知识解释性较差的缺点。
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| 关 键 词： | 供应链绩效评价 模糊综合评估 粗糙集 BP神经网络 |
Supply Chain Performance Measurement Methods based on Intelligent Information Processing |
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| ZHENG Pei,WAN Wei.Supply Chain Performance Measurement Methods based on Intelligent Information Processing[J].Journal of Hunan Agricultural University,2011(5):119-124. |
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| Authors: | ZHENG Pei WAN Wei |
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| Abstract: | The performance evaluation models of supply chain are resolved, simulated and verified in this paper. The results are tested and the aspects of these performance evaluation models are analyzed and summarized. Experiment results show that the performance evaluation models and techniques put forward in the paper are scientific and efficient. The paper conclusions supplement and deepen the current insufficiency in the performance evaluation study and application of supply chain. They provide supply chain researchers and managers important ideas and techniques, and also provide more academic bases and practice means for policy decision of supply chain. |
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| Keywords: | SC performance measurement Fuzzy evaluation Rough set Back propagation neural network |
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