To enable Web service consumer to acquire the quality of service(QoS)value as a reference for service ranking and sorting

a Web service ranking algorithm based on the QoS parameters prediction is proposed. According to the measure of service quality conformance

the service quality reports are produced

the creditable reports are marked

and the preprocessing method is chosen to exclude those cheating reports. The QoS value is predicted with the fuzzy regression method

whose I/O parameters get the property and evaluation values of service quality respectively

so the fuzzy coefficients can be determined and the QoS evaluation is hazed with symmetric triangular fuzzy number

and the results are employed as the service selecting basis. The experimental results demonstrate that the predicted value is close to the real QoS value gradually as the sample number of the service quality report increasing. The service quality prediction

compared with the others in the service discovery

enables the average R-precision error to be controlled within 2.7% with the varying parameters of service quality conformance and the QoS difference between service advertisement and requirement accepted by service consumer.