摘要
虚拟物流企业已成为 21世纪信息社会生产、物流的主流组织形式。准确地选择和确定合作伙伴是建立虚拟物流企业的关键。本文提出了应用基于网格的聚类算法来选择虚拟物流企业合作伙伴。该算法能对虚拟物流企业信息平台提供的庞大的高维的成员企业信息数据库进行快速有效的数据挖掘,从而在全球范围内寻找潜在的合作伙伴,以供虚拟物流企业核心企业作为下一步精选的根据。实例仿真说明了该算法的有效性。
Virtual logistics enterprise （VLE）is a mainstream organizational form for production and logistics in the information society of the 21^st century. Correct selection of partners is one of the key links in establishing a VLE. A selection partner method based on grid of clustering algorithm is advanced in this paper, which can realize data mining in the bulkiness and high demension information database of member enterprises provided by VLE information platform in order to find the latent partners in the whole globe and act as the basis for accurate selection of core enterprises of VLE. A simulating case will demonstrate the effectiveness of the selection methed of the grid-based clustering algoithm.
出处
《计算机科学》
CSCD
北大核心
2005年第8期114-117,共4页
Computer Science
基金
国家自然科学基金
多维空间数据集成环境下数据挖掘模型的研究
基金号:70540005
