FUZZY QOS-DRIVEN SERVICE SELECTION METHOD FOR GROUP USER

The selection of software as a service (SaaS) for group user in cloud service Provision is challenging, notably because the quality of service (QoS) of SaaS and the Personalization QoS preference of members in group are uncertain. This is an urgent Problem and it will increase its importance with the advent of the SaaS model of service delivery. Therefore, in choosing the cloud service of SaaS to utilize for group user, the alternatives must be ranked based on the QoS of services and members' QoS preference expressed by fuzzy terms. In order to identify their dissimilarity on alternatives, and assist group user in selecting most suitable service with consideration of the members' preferences in group, a fuzzy QoS-driven service selection method for group user (FQSS_GU) is proposed based on multiple attributes decision making (MADM) theory. This approach can obtain the group optimal solution when the QoS preference of member in group is Personalized with uncertainty and the QoS of alternatives is expressed by fuzzy terms. Finally, four experiments are given to demonstrate the benefits and effectiveness of fuzzy QoS-driven service selection method. The experimental results demonstrated that it is a feasible and supplementary manner in selecting the cloud service of SaaS for group user.