动态联盟组建初期的任务,是从数量众多的候选企业中选择出最优企业作为该动态联盟的盟员。在选择过程中需要尽可能减少主观因素,从而使最终的选择面向数据以及事实。本文将数据挖掘中的决策树分类方法引入盟员的筛选过程中,这将会极大地提升动态联盟的决策能力,并且可以最大程度上减少动态联盟在实际运作中所面临的风险。 The initial mission of the formation of the dynamic alliance is to select the best enterprise from a large number of candidate enterprises as the alliance members of the dynamic alliance. In the selection process need to minimize the subjective factors, so that the final choice for the data and the facts. In this paper, the decision tree classification method in data mining is introduced into the selection process of alliance members, which will greatly enhance the decision-making ability of the dynamic alliance and minimize the risks that the dynamic alliance faces in the actual operation.