首页> 中文期刊> 《计算机应用研究》 >基于改进的BOCR和FANP模型的ERP系统选择方法

基于改进的BOCR和FANP模型的ERP系统选择方法

     

摘要

ERP系统能够明显影响企业未来的竞争力和企业绩效.ERP系统的选择是一个典型的多因素决策问题.基于BOCR理论建立了ERP系统选择的评价指标体系,考虑了准则/指标之间的相互影响和反馈关系.由于评价过程中信息的不精确和模糊性,用三角模糊数表示专家或决策者的偏好意见,根据模糊优先规划方法计算三角模糊判断矩阵的局部权重.依据准则/指标之间的网络结构关系建立了未加权超矩阵,计算了收敛后的极限超矩阵,以得出各指标的综合权重.最后以案例说明如何应用提出的方法.%ERP system can significantly affect the competitiveness and performance of an enterprise in the future. The problem of selecting an optimal ERP system is a multi-attribute decision making problem. Taking account into the interaction and feedback relationships between criteria/index,this paper established an evaluation index system for selecting an optimal ERP system based on improved BOCR model. Due to the uncertainty and vagueness during the process of evaluation,used triangular fuzzy numbers to denote experts' or decision-makers' preference opinions. Calculated local priority for triangular fuzzy comparison matrix by the method of fuzzy preference programming. Built an unweighted supermatrix based on the network structure of criteria/index, and figured out the limited supermatrix, so gained the comprehensive priority of each index. Finally, gave a case to illustrate the proposed method.

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