A User's Preference Based Method for Web Service Selection
A User's Preference Based Method for Web Service Selection
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DOI：
10.1109/iccrd.2010.34
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发表时间：
2010-05
期刊：
影响因子：
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通讯作者：
Zhiqiang Fan;Li Zhang;Jufang Shen;Shouxin Wang
中科院分区：
文献类型：
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作者：
Zhiqiang Fan;Li Zhang;Jufang Shen;Shouxin Wang
在选择具有相同功能的Web服务时，应同时考虑标准值和用户对标准的偏好。通常，用户使用定性概念来描述他/她对标准的偏好。但与定性概念相对应的定量值是不确定的。因此，基于用户偏好获取的主观权重是不确定的。提出了一种基于不确定主观权重的Web服务选择方法。首先，我们提出了两种计算主观权重的方法：归一化法和最小二乘法。主观权重采用云模型描述。其次，利用Cobb-Douglas偏好无差异曲线的边际替代法合成各Web服务的准则值。第三，提出了一种服务选择算法。利用该方案，对天气预报Web服务的选择进行了实验。通过对权重的敏感性分析，验证了实验结果的正确性。
Both criterion values and user’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.