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. Web service participants with different backgrounds or preferences may not be easy to reach consensus on their Web service QoS opinions, so they should be treated as multi-groups. Also, to prevent to possible 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.

• Type: Conference
• Year: 2009
• Where: CISIS
• Authors: Wei-Li Lin, Chi-Chun Lo, Kuo-Ming Chao, Nick Godwin
• Keywords: CISIS 2009, Group Consensus, QoS Opinions, Web Service