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基于离散型Hopfield神经网络的供应商评价模型
引用本文:高芳,赵强,赵刚.基于离散型Hopfield神经网络的供应商评价模型[J].计算机集成制造系统,2004,10(1):95-98.
作者姓名:高芳  赵强  赵刚
作者单位:1. 哈尔滨工业大学财务处,黑龙江,哈尔滨,150006
2. 哈尔滨理工大学计控学院,黑龙江,哈尔滨,150080
3. 联想集团客户资材处,北京,100085
摘    要:供应商评价是供应链管理中一项重要的研究内容,为此,提出并建立了一种基于离散型Hopfield神经网络的供应商评价模型。该模型结合层次分析法,实现了采购供应链中供应商的多指标评价,提高了供应商选择过程的客观性;根据评价指标权重对神经元分组,克服了离散型Hopfield神经网络难以表达指标权重的缺点;最后,用实例对模型进行了验证。

关 键 词:供应商评价  层次分析法  权重  Hopfield神经网络
文章编号:1006-5911(2004)01-0095-04
修稿时间:2003年2月14日

Supplier Evaluation Model Based on Discrete Hopfield Neural Network
GAO Fang,ZHAO Qiang,ZHAO Gang.Supplier Evaluation Model Based on Discrete Hopfield Neural Network[J].Computer Integrated Manufacturing Systems,2004,10(1):95-98.
Authors:GAO Fang  ZHAO Qiang  ZHAO Gang
Affiliation:GAO Fang~1,ZHAO Qiang~2,ZHAO Gang~3
Abstract:The supplier evaluation is important for supplier chain management. In this paper, we put forward and establish a model based on the Discrete Hopfield Neural Network (DHNN) for supplier evaluation. Combined with the Analytic Hierarchy Process (AHP), this model can realize the multi-goal evaluation and strengthens the objectivity of supplier selection. According to the weights of evaluation goals, we divide all neurons into groups of different scales. So the DHNN's difficulty in expressing the evaluation goal's weight is solved. Finally,we verified the validity of the model with an example.
Keywords:supplier evaluation  analytic hierarchy process  weight  Hopfield neural network
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