Fuzzy Similarity Clustering for Consumer-Centric QoS-aware Selection of Web Services
| dc.citation.epage | 909 | en_US |
| dc.citation.spage | 904 | en_US |
| dc.contributor.author | Lin, Wei-Li | en_US |
| dc.contributor.author | Lo, Chi-Chun | en_US |
| dc.contributor.author | Chao, Kuo-Ming | en_US |
| dc.contributor.author | Godwin, Nick | en_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.department | Department of Information Management and Finance | en_US |
| dc.date.accessioned | 2014-12-08T15:22:56Z | |
| dc.date.available | 2014-12-08T15:22:56Z | |
| dc.date.issued | 2009 | en_US |
| dc.description.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. | en_US |
| dc.identifier.isbn | 978-1-4244-3569-2 | en_US |
| dc.identifier.journal | CISIS: 2009 INTERNATIONAL CONFERENCE ON COMPLEX, INTELLIGENT AND SOFTWARE INTENSIVE SYSTEMS, VOLS 1 AND 2 | en_US |
| dc.identifier.uri | https://ir.lib.nycu.edu.tw/handle/11536/16171 | |
| dc.identifier.wosnumber | WOS:000272961700137 | |
| dc.language.iso | en_US | en_US |
| dc.title | Fuzzy Similarity Clustering for Consumer-Centric QoS-aware Selection of Web Services | en_US |
| dc.type | Proceedings Paper | en_US |
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