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dc.contributor.authorLin, Wei-Lien_US
dc.contributor.authorLo, Chi-Chunen_US
dc.contributor.authorChao, Kuo-Mingen_US
dc.contributor.authorGodwin, Nicken_US
dc.date.accessioned2014-12-08T15:22:56Z-
dc.date.available2014-12-08T15:22:56Z-
dc.date.issued2009en_US
dc.identifier.isbn978-1-4244-3569-2en_US
dc.identifier.urihttp://hdl.handle.net/11536/16171-
dc.description.abstractAppropriate 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.en_US
dc.language.isoen_USen_US
dc.titleFuzzy Similarity Clustering for Consumer-Centric QoS-aware Selection of Web Servicesen_US
dc.typeProceedings Paperen_US
dc.identifier.journalCISIS: 2009 INTERNATIONAL CONFERENCE ON COMPLEX, INTELLIGENT AND SOFTWARE INTENSIVE SYSTEMS, VOLS 1 AND 2en_US
dc.citation.spage904en_US
dc.citation.epage909en_US
dc.contributor.department資訊管理與財務金融系 註:原資管所+財金所zh_TW
dc.contributor.departmentDepartment of Information Management and Financeen_US
dc.identifier.wosnumberWOS:000272961700137-
Appears in Collections:Conferences Paper