基于离散型Hopfield神经网络的供应商评价模型

摘要/Abstract

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

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 DHNNs difficulty in expressing the evaluation goals weight is solved. Finally，we verified the validity of the model with an example.

Key words: supplier evaluation, analytic hierarchy process, weight, Hopfield neural network

中图分类号:

F274

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]. .

GAO Fang,ZHAO Qiang,ZHAO Gang. Supplier Evaluation Model Based on Discrete Hopfield Neural Network[J]. .

参考文献

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