標題: Fuzzy Similarity Clustering for Consumer-Centric QoS-aware Selection of Web Services
作者: Lin, Wei-Li
Lo, Chi-Chun
Chao, Kuo-Ming
Godwin, Nick
資訊管理與財務金融系 註:原資管所+財金所
Department of Information Management and Finance
公開日期: 2009
摘要: 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.
URI: http://hdl.handle.net/11536/16171
ISBN: 978-1-4244-3569-2
期刊: CISIS: 2009 INTERNATIONAL CONFERENCE ON COMPLEX, INTELLIGENT AND SOFTWARE INTENSIVE SYSTEMS, VOLS 1 AND 2
起始頁: 904
結束頁: 909
Appears in Collections:Conferences Paper