基于灰色关联分析的直觉模糊多属性Web服务选择

Web服务的性能主要从非功能属性QoS来体现.提出了将Web服务QoS属性分为精确型、区间型和语言型,同时基于层次分析法给出了用户对各QoS属性的偏好权重.引入了直觉模糊集理论将QoS属性统一转为直觉模糊数,并定义了两个直觉模糊数的距离.在服务选择过程中,根据灰色关联分析方法的思想,计算每个方案对于直觉模糊矩阵正、负理想解的灰色关联度,然后计算各方案对于正理想解的相对关联度,并依据相对关联度对各方案排序,相对关联度越大,对应服务的综合QoS性能越优.最后通过一个实例验证了该方法的有效性.

Intuitionistic Fuzzy Multiple Attribute Web Service Selection Based on Grey Correlation Analysis

Web service non-functional attributes QoS reflect the performance of web services.Web services QoS attributes were divided into the exact type,interval numeric type and linguistic type,and QoS preference of users were calculated by AHP(analytic hierarchy process).In addition,the intuitionistic fuzzy set(IFS)theory was introduced to unify QoS attributes into the intuitionistic fuzzy numbers,and define the distance of two intuitionistic fuzzy Numbers.In the process of service selection,according to the ideas of the grey correlation analysis method,calculate each solution relative to the intuitionistic fuzzy matrix grey correlation degree of the positive and negative ideal solution.And then calculate relative correlation degree of each scheme for the positive ideal solution and relative incidence degree based on the ranking.The example proves that the method is feasible.