A Service Selection Method Supporting Mixed QoS Attributes
Hui Xia · 2018
Most of the current service selection methods assume that the Quality of Service (QoS) value of all services must be a real number, and the ambiguity of the QoS attribute is not taken into account. This assumption in the practical application requirements have certain limitations, but also lose a lot of data information. In order to enhance the ability of QoS expression, the QoS attribute value is described as exact numeric type, interval numeric type and fuzzy numeric type. At the same time, the order preference vector is used to represent the user's preference for different QoS attributes, which is converted into the subjective weight of the QoS attributes. The entropy weight is used to calculate the objective weights of the QoS attributes. On this basis, the service selection process of mixed QoS attributes is given by relative dominance algorithm. Finally, the validity and rationality of relative dominance algorithm are proved by simulation and experiment.