面向大群体用户的模糊服务选择

Big Group-oriented Fuzzy Web Service Selection

面向群体的服务选择在社会生活中应用非常广泛;而群体规模较大并且QoS需求个性化和模糊QoS给Web服务选择带来巨大困难。基于多属性群决策理论提出面向大群体用户的模糊服务选择(BGFWSS),其包括5个步骤:群体偏好确定、族加权权重确定、构造族加权规格化决策矩阵、确定理想方案、群体综合评价。另外,还介绍了一个新的Web服务QoS模型,其能够描述实数、区间数、直觉模糊数表示的QoS信息。实验数据表明,BGFWSS能够很好地解决模糊QoS的大规模群体用户的服务选择问题。

Group-oriented Web service selection is widely applied in everyday life, which is still challenging for big group with personalized QoS requirements and fuzzy QoS. Based on multi-attribute group decision making （MAGDM） theory, big group-oriented fuzzy Web service selection （BGFWSS） was presented. It includes five main steps.calculating group preference, calculating weighted cluster weights, constructing cluster weighted normalized decision-making ma- trix, determining the positive-ideal and negative-ideal solution, evaluating alternatives for group synthetically. Other con- tribution is a novel Web service QoS model to describe QoS values with real numbers, interval numbers and intuitionistic fuzzy numbers. Experimental results show that the proposed algorithm can solve the problem of big group-oriented Web service selection with fuzzy QoS very well.