Name
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. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/CISIS.2009.202 | CISIS: 2009 INTERNATIONAL CONFERENCE ON COMPLEX, INTELLIGENT AND SOFTWARE INTENSIVE SYSTEMS, VOLS 1 AND 2 |
Keywords | Field | DocType |
quality of service,web services,algorithm design and analysis,fuzzy clustering,fuzzy systems,clustering algorithms,fuzzy set theory,information management,software systems,competitive intelligence,mathematical model,topology,data mining,parallel algorithms,web service | Fuzzy clustering,World Wide Web,Information management,Computer science,Fuzzy logic,Quality of service,Fuzzy set,Fuzzy control system,Web service,Cluster analysis | Conference |
Citations | PageRank | References |
4 | 0.41 | 13 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wei-Li Lin | 1 | 41 | 3.02 |
| Chi-Chun Lo | 2 | 593 | 54.99 |
| Kuo-Ming Chao | 3 | 1123 | 130.82 |
| Nick Godwin | 4 | 110 | 12.52 |