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

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

doi:10.1109/CISIS.2009.202

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

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

資訊管理研究所

研究成果 › 同行評審

8 引文斯高帕斯（Scopus）

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.

原文	English
頁面	904-+
DOIs	https://doi.org/10.1109/CISIS.2009.202
出版狀態	Published - 16 3月 2009
事件	3rd International Conference on Complex, Intelligent and Software Intensive Systems - Fukuoka, 日本持續時間: 16 3月 2009 → 19 3月 2009

Conference

Conference	3rd International Conference on Complex, Intelligent and Software Intensive Systems
國家/地區	日本
城市	Fukuoka
期間	16/03/09 → 19/03/09

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10.1109/CISIS.2009.202

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

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