摘要
作者主要针对不完全信息下的生产型虚拟企业合作选择问题进行了深入研究,通过分析生产型虚拟企业的特点,构建了基于竞争力的合作伙伴评价指标体系;考虑到决策情报收集过程中的认识域的范围,采用群决策的方式进行决策。作者考虑粗糙集理论在处理模糊信息方面的优点,设计一种新的属性离散化方法引导属性离散化过程,通过群体学习的方式获得部一致方案的判断值,进而得到最佳合作伙伴,最后用算例说明了属性离散化方法的可行性。
The author conducted an in-depth study on the choice of production-based virtual enterprise cooperation partners in incomplete information situation.by analyzing the characteristics of production-based virtual enterprises,he constructed a partner evaluation index system on the basis of competitiveness,and taking into account the scope of the cognative filed in decision-making information collection,put forward the adoption of group decision making.By considering the advantage of the rough ste theory in handling fuzzy information,the author designed a new method to guide the quality discretization.He suggested that the best cooperation partner can be found by means of obtaining value figure of accordant blueprint through group study and finally illustrated the fesaibility of quality discretization.
出处
《运筹与管理》
CSCD
北大核心
2010年第6期195-199,共5页
Operations Research and Management Science
基金
国家863/CIMS主题资助项目(2002AA414040)
关键词
管理工程
合作企业选择
离散化方法
虚拟企业
virtual enterprise
rough set
discretization method
group decision-making