基于SVM的虚拟企业伙伴决策系统的设计与实现

Design and Implementation of Partners Decision-Making for Virtual Enterprise Based on Support Vector Machine

如何在众多的伙伴企业中选择最佳合作伙伴是运营虚拟企业的核心问题。一般决策方法是将所有竞标企业进行综合评价及优选,伙伴企业的数量直接影响决策过程的效率。针对这一问题,该文应用支持向量机技术(SVM)对竞标企业进行自动分类与筛选,向决策者提交最优伙伴列表,再结合其它决策算法实现智能伙伴选择;设计并实现了基于SVM的虚拟企业伙伴智能决策系统。

Virtual Enterprise (V E)has been the main mode of21st manufacturing enterprises especially when Int ernet's development is so quick.The most important problem of progress of run ning virtual enterprises is how to select optimal cooperative partners in such a mount partner enterprises.Common decision-making methods take all enterprise s as their input debased their efficiency,therefore,classification methods ar e applied to reduce the input they need.This paper analyses the process of dec ision-making of the partner selection and presents a framework of intelligent decision-making system for virtual enterprise based on support vector machine.