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

Wei-Li Lin, Chi-Chun Lo, Kuo-Ming Chao, Nick Godwin

Research output: Contribution to conferencePaper

7 Scopus citations

Abstract

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.
Original languageEnglish
Pages 904-+
StatePublished - 2009
Event 3rd International Conference on Complex, Intelligent and Software Intensive Systems - Fukuoka, Japan
Duration: 16 Mar 200919 Mar 2009

Conference

Conference 3rd International Conference on Complex, Intelligent and Software Intensive Systems
CountryJapan
CityFukuoka
Period16/03/0919/03/09

Keywords

  • DECISION-MAKING
  • MODEL

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    Lin, W-L., Lo, C-C., Chao, K-M., & Godwin, N. (2009). Fuzzy Similarity Clustering for Consumer-Centric QoS-aware Selection of Web Services. 904-+. Paper presented at 3rd International Conference on Complex, Intelligent and Software Intensive Systems, Fukuoka, Japan.