摘要： 在用户与服务提供者交互时，提供的偏爱信息通常是不完备的。为在不完备偏爱信息的前提下实现有效的云服务组合，提出一种不完备偏爱信息权重确定算法，利用不完备粗糙集方法确定用户主客观权重，进而得到符合用户偏爱的服务组合。在云计算平台中的实验结果验证了该算法的有效性。

关键词: 用户偏爱, 服务组合, 云计算, 粗糙集, 服务质量, 主观权重, 客观权重

Abstract: Users usually can only provide incomplete preference information to service providers. In order to carry out effective cloud services composition, this paper proposes an incomplete user preference information weight fixing algorithm. It gets the incomplete information, obtains the user subjective and objective weight by rough set method and then gets the user preference service composition. The algorithm is used in cloud computing platform, and achieves good results.

Key words: user preference, service composition, cloud computing, rough set, Quality of Service(QoS), subjective weight, objective weight

中图分类号: 

• TP391