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A User's Preference Based Method for Web Service Selection

机译:基于用户偏好的Web服务选择方法

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Both criterion values and userȁ9;s preference of criterion should be taken into account when selecting web services with same functionalities. Usually, user describes his/her preference of criterion using qualitative concept. But the quantitative value corresponding to qualitative concept is uncertain. Thus, the subjective weight acquired based on user''s preference is uncertain. This paper provides a method to select web service using uncertain subjective weight. Firstly, we present two ways of calculating subjective weight; Normalization and Least square method. The subjective weight is described using cloud model. Secondly, the criterion values of each web service are synthesized using marginal substitution method with indifference curve of Cobb-Douglas preferences. Thirdly, an algorithm for service selection is presented. Using this scheme, an experiment is conducted on selecting weather forecast web service. The result of the experiment is validated by the sensibility analysis of weight.
机译:选择具有相同功能的Web服务时,应同时考虑标准值和用户的9偏好。通常,用户使用定性概念描述他/她对准则的偏爱。但是与定性概念相对应的定量值是不确定的。因此,基于用户偏好获得的主观权重是不确定的。本文提供了一种使用不确定的主观权重选择Web服务的方法。首先,我们提出了两种计算主观权重的方法;归一化和最小二乘法。主观权重使用云模型进行描述。其次,使用具有Cobb-Douglas偏好的无差异曲线的边际替代方法,合成每个Web服务的标准值。第三,提出了一种服务选择算法。使用该方案,进行了选择天气预报Web服务的实验。通过体重敏感性分析验证了实验结果。

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