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中文摘要：
Qo S由于网络环境及物理位置等因素的变化,会产生内在的不确定性,而云模型是定义数据不确定性的有效工具,但传统云模型在描述不确定性Qo S的过程中不能处理Qo S分布的高峰特点与不对称问题,因此提出一种用p阶组合云来为不确定性Qo S建模的方法,p阶云被证明了有高峰的特点,且峰度随着p的增大而增加,可以满足Qo S分布的要求,组合云可以解决数据分布不对称的问题,而实验也证明了p阶组合云能更有效的模拟Qo S属性值的分布,最后还根据实验分析结果提出了一种基于p阶组合云参数的服务过滤策略,为服务选择提供新方法.
英文摘要：
The change of network environment and physical location generate the inherent uncertainty of Qo S and cloud model is an effective tool for defining uncertain data. But traditional cloud model can’t reflect the high-kurtosis distribution and asymmetry distribution of uncertain Qo S,to solve this problem,p-order combined cloud was put forward to model uncertain Qo S. p-order cloud was proved has the characteristic of high-kurtosis,and kurtosis increases with the increase of p,which can meet the requirements of Qo S distribution,combine cloud can solve the problem of asymmetric distribution of Qo S,and through experiment p-order combined cloud model was proved has more efficient in simulating the distribution of Qo S,finally according to the analysis of experiment,we proposed a web service filtering strategy based on the parameters of p-order combined cloud model.
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