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

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4 Author(s)
Wei-Li Lin ; Inst. of Inf. Manage., Nat. Chiao-Tung Univ., Chiao-Tung ; Chi-Chun Lo ; Kuo-Ming Chao ; Nick Godwin

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.

Published in:

Complex, Intelligent and Software Intensive Systems, 2009. CISIS '09. International Conference on

Date of Conference:

16-19 March 2009