基于模糊优选神经网络的复杂产品系统合作企业能力的评估研究  

To Study on Evaluating of Cooperative Enterprises' Capability for Complex Product System Based on Fussy Optimizing Neural Network

作　　者：曾经莲[1] 邹树梁[1] 吴建时[1] 

机构地区：[1]南华大学核能经济与管理研究中心,衡阳421001

出　　处：《价值工程》2009年第4期85-89,共5页Value Engineering

基　　金：湖南省教育厅资助重点项目(JY05A046)。

摘　　要：随着经济全球化加快,世界制造中心向中国转移,复杂产品系统在其中起到举足轻重的作用。从复杂产品系统协同生产角度,详细分析了复杂产品系统生产过程中合作企业能力的影响因素;运用神经网络与模糊理论,建立基于模糊优选神经网络的合作企业能力评估模型,确定参与生产的合作企业的各自等级,为核心企业选择合适的合作企业提供一定的依据。Speeding up gradually along with the economical globalization,the world manufacturing center is shifting to China, and the complex product system plays the important role in China, therefore,the research of the complex product system has the great signifieance o From the aspect of CoPS cooperate production,this paper detaily analyzes the infection factors of cooperative enterprises ability in production process~ Integrating the virtue of neural net works and learning,association,recognise, self-adapt and fuzzy information of fuzzy theory,this paper constitutes a cooperating enterprises ability evaluating model in the base of fuzzy optimization neural net works, then confirms the grade of the cooperating enterprise, and povides some evidences for the core enterpres about how to choece a right cooperator.

关 键 词：复杂产品系统 模糊优选 神经网络 合作企业能力 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] F273.2[自动化与计算机技术—控制科学与工程]