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基于未确知聚类的动态联盟伙伴选择研究
引用本文:管祥兵,刘历波,代兰,任向阳. 基于未确知聚类的动态联盟伙伴选择研究[J]. 河北工程大学学报(自然科学版), 2006, 23(1): 104-107
作者姓名:管祥兵  刘历波  代兰  任向阳
作者单位:河北工程大学,经管学院,河北,邯郸,056038;河北工程大学,土木工程学院,河北,邯郸,056038;湖北沙市第九中学,湖北,沙市,421000
摘    要:就盟主企业建立动态联盟的过程、盟友的评价指标体系、优化决策的算法进行分析研究,建立盟主选择的数学模型,提出未确知C-均值聚类(UCM)。将此聚类算法应用于实践中,证明其可行性和有效性,最后在理论上与C-均值聚类、模糊C-均值聚类(FCM)作出比较,证明此方法的科学性。

关 键 词:未确知C-均值聚类(UCM)  动态联盟  模糊C-均值聚类(FCM)
文章编号:1007-6743(2006)01-00104-04
修稿时间:2005-11-20

Unascertained C-clusters of partner selection in virtual organization
GUAN Xiang-bing,LIU Li-bo,DAI Lan,REN Xiang-yang. Unascertained C-clusters of partner selection in virtual organization[J]. Journal of Hebei University of Engineering(Natural Science Edition), 2006, 23(1): 104-107
Authors:GUAN Xiang-bing  LIU Li-bo  DAI Lan  REN Xiang-yang
Abstract:The process of partner selection,the evaluation architecture and algorithms of decision-making were studied to establish and E-manufacturing virtual organization.The mathematical model of partner selection was established and unascertained C-clusters was raised in this paper.At last,its feasibility and validity were proved by an example.In this paper,unascertained C-clusters is different from Fuzzy C-clusters and C-cluster and it is more scientific.
Keywords:unascertained C-clusters  virtual organization  fuzzy C-clusters
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