Cloud service selection is one of the key link for users to use a cloud service.For the problem that the weights are calculated subjectively by using analytic hierarchy process and fuzzy method is improperly used in the process of cloud service selection, the paper puts forward a kind of cloud service selection method which combines subjective and objective weights and fuzzy entropy to solve the problem of cloud service selection.The method uses the analytic hierarchy process to obtain the subjective weights of user and uses the entropy method to obtain the objective weights of service solution.And then the subjective and objective weights are combined to produce the comprehensive weights.Next, the comprehensive weights and the corresponding QoS value are utilized to construct the membership function so as to calculate the correlation coefficient of fuzzy entropy.Finally the service solutions are ordered the coefficient to get the best solution.Experimental results show that the method can more accurately choose a cloud service for the user.%云服务选择是用户使用云服务的关键环节之一.针对云服务选择方法中使用层次分析法主观性太强和模糊化方法使用不恰当等问题,提出了一种主客观权重和模糊熵相结合的方法解决云服务选择问题.该方法使用层次分析法获得用户的主观权重,熵权法获得服务方案的客观权重,组合主客观权重生产综合权重,利用综合权重与相应的QoS指标值结合构造隶属度函数,计算模糊熵的关联系数,最后对关联系数排序得到最佳方案.实验证明,该方法能更准确地为用户选择云服务.
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