Fuzzy Similarity Clustering for Consumer-Centric QoS-Aware Selection of Web Services

Appropriate use of group consensus on service consumers\´ QoS opinions can improve Web service discovery. For Web service participants with different backgrounds or preferences it may not be easy to reach a consensus on the Web service QoS opinions, so they should be treated as multi-groups. Also, to prevent possibly useful opinions from being omitted unintentionally, fuzzy clustering criteria for the "multi-groups" framework should be adopted. In this paper, we have proposed a FMGSAM (Fuzzy Multi-Groups based SAM) to improve the accuracy in group opinion similarity analysis and the efficiency in generating group consensus.