期刊文献+

基于未确知聚类的动态联盟伙伴选择研究 被引量:2

Unascertained C-clusters of partner selection in virtual organization
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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。 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.
出处 《河北建筑科技学院学报》 2006年第1期104-107,共4页 Journal of Hebei Institute of Architectural Science & Technology
关键词 未确知C-均值聚类(UCM) 动态联盟 模糊C-均值聚类(FCM) unascertained C-clusters virtual organization fuzzy C-clusters
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