协同效应模糊综合评价的神经网络模型的构建  

The Fuzzy Synthetic Appraisal Mode of the Synergy Based on Neural Network Model

作　　者：刘明杞[1] 郭东强[1] 

机构地区：[1]华侨大学工商管理学院,泉州362021

出　　处：《中国经济与管理科学》2009年第3期62-64,共3页Chinese Economy Management Science Magazine

基　　金：福建省自然科学基金计划资助项目（项目编号：A0610018）.

摘　　要：协同商务链作为一种新的经济资源联盟体，对传统的供应链模式进行了很好的完善和发展，通过协同商务链的管理，可以产生协同效应。后者可以帮助协同商务链的各节点企业实现优势互补、互相合作，达到协同生产，提高企业核心竞争力的目标。然而，由于协同商务链的复杂性，其中各节点上的企业多，且各有特点。因此，目前还很难用具体的数理模型对它产生的协同效应进行度量。本文在研究价值链理论的基础上，引入了模糊数学和神经网络的思想，建立了企业协同商务链协同效应的评价指标体系，并分析了基于神经网络的模糊综合评价方法在协同商务链协同效应评价过程中的应用。Collaborative commerce chain as a new economic resources union has improved and developed the traditional supply chain model. It can generate synergy effect with the synergy business chain management. The latter can help the enterprises on different collaborative commerce chain nodes to utilize complementary advantages and mutual cooperation, and achieve the goals of coordinated production and enhancing their core competitiveness. However, because of the complexity of collaborative commerce chain,large quantities of enterprises on different nodes, and their different characteristics, it is still difficult to measure synergy effect with specific mathematical model. This article introduces fuzzy math ideas besides the value chain theory, and establishes the evaluation index system of synergy effect of enterprise collaborative commerce chain,what is more,it also analyses the application for fuzzy evaluation method to the process of evaluating the synergy effect of collaborative commerce chain.

关 键 词：协同商务链 协同效应 模糊综合评价 神经网络 

分 类 号：F01[经济管理—政治经济学]