基于自适应神经模糊系统的企业供应商评价研究  

Research on enterprise supplier evaluation based on the adaptive Neuro-Fuzzy Inference System

作　　者：吴鹏[1] 吴瑞明[1] 

机构地区：[1]上海交通大学安泰经济与管理学院,上海200030

出　　处：《上海管理科学》2015年第6期14-17,共4页Shanghai Management Science

摘　　要：随着现代管理思想引入以及全球竞争的加剧,供应链管理已然成为企业竞争力的核心要素。而供应商评价选择则是其中重要环节,因此科学准确的供应商评价体系对于企业的重要性不言而喻。本文在以因子分析法对供应商评价因素进行整理的前提下,通过结合模糊理论与神经网络理论,建立了一套基于自适应神经模糊系统的供应商评价体系,并在实证中取得了较好效果。With both the introduction of modern management ideas and the intensification of global competition, supply chain management has become the core element of enterprise competitiveness. While the supplier evaluation and selection is one of the most important parts in the supply chain management, a scientific and accurate evaluation system for the enterprise is very important for the enterprise. In this paper, based on reconstruction of supplier influence factors with the factor analysis methods, a set of supplier evaluation system based on adaptive Neuro-Fuzzy Inference System is established by combining the fuzzy theory and neural network theory. Moreover, better results have been achieved in the subsequent empirical research.

关 键 词：供应商评价 因子分析法 自适应神经模糊系统 

分 类 号：F274[经济管理—企业管理]