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为了有效解决混合数据类型描述服务质量(QoS)和服务组合计划规模较大情况下的服务选择问题,提出一种基于多属性决策理论的混合QoS聚类的web服务组合算法(CHQoS_WSCA).该算法不仅能评估以实数、区间数、三角模糊数、直觉模糊数描述的QoS信息,还能有效解决组合计划规模较大时算法的性能问题.介绍了一个新的web服务QoS模型,能描述实数、区间数、三角模糊数、直觉模糊数表示的QoS信息和一种异构QoS聚合算法.仿真实验结果验证了该算法的优越性和有效性.
In order to effectively solve the problem of service selection when the mixed data type describes the QoS and the service composition plan is large, a hybrid QoS clustering algorithm for web service composition (CHQoS_WSCA) based on multiple attribute decision theory is proposed. It can not only evaluate the QoS information described by real number, interval number, triangular fuzzy number and intuitionistic fuzzy number, but also can effectively solve the performance problem of the algorithm when the combined plan is large.A new QoS model of web service is introduced, which can describe real number, Interval number, triangular fuzzy number, intuitionistic fuzzy number and a heterogeneous QoS aggregation algorithm.The simulation results verify the superiority and effectiveness of this algorithm.