The composition service selection based on quality of service (QoS) is still challenging because the difficulty of obtaining user's requirements and the complex and uncertain environment make decision making hard.Firstly,a user weight model closer to user"s expression habit to obtain the user's weight is presented.And then a novel composition Web service selection algorithm (CWSSA) based analytic hierarchy process (AHP) and technique for order preference by similarity to an ideal solution (TOPSIS) is presented to solve the problem of optimal service selection in the complex and uncertain environment t for the first time.It can convert user's pair-wise comparison matrix of QoS attributes to user weight and take QoS information with interval number into consideration.Other contributions of the paper include a user weight model,a QoS model with interval number and strategy for aggregating QoS.Finally,the benefits and effectiveness of our approach are demonstrated.%用户需求准确获取和复杂不确定环境下的最优服务选择是服务组合研究中的难题.首先提出一个接近用户表达习惯的用户权重表达模型获取用户服务质量(QoS)权重,然后提出一种基于层次分析法(AHP)和逼近理想解排序法(TOPSIS)的组合服务选择算法(CWSSA)以解决最优服务选择问题.该算法转换用户的QoS属性两两比较矩阵为用户权重,评估区间数表示的复杂不确定环境下的QoS信息.还介绍了一个QoS属性关系表示的用户权重模型和区间数描述的QoS模型及聚合算法.实验验证了该算法的优越性和有效性.
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