Fuzzy decision support for service selection in e-business environments
| dc.contributor.author | Schmidt, S. | |
| dc.contributor.author | Chang, Elizabeth | |
| dc.contributor.author | Dillon, Tharam S. | |
| dc.contributor.author | Steele, R. | |
| dc.contributor.editor | Piero Bonissone | |
| dc.date.accessioned | 2017-01-30T11:45:37Z | |
| dc.date.available | 2017-01-30T11:45:37Z | |
| dc.date.created | 2009-03-05T00:54:24Z | |
| dc.date.issued | 2007 | |
| dc.identifier.citation | Schmidt, Stefan and Chang, Elizabeth and Dillon, Tharam and Steele, Robert. 2007. Fuzzy decision support for service selection in e-business environments, in Bonissone, P. (ed), IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM 2007), Apr 1 2007, pp. 374-381. Honolulu, Hawaii, USA: Institute of Electrical and Electronics Engineers (IEEE). | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/14737 | |
| dc.identifier.doi | 10.1109/MCDM.2007.369116 | |
| dc.description.abstract |
The emergence of semantic overlay networks as instruments to improve security, trust and stability in distributed virtual communities is recognized widely in the research community. We propose a fuzzy logic based framework which integrates social information such as trustworthiness, reputation and credibility ratings for individuals, alliances, organizations, services and products in e-commerce markets. This framework is designed to support the decision making process of autonomous agents during the selection of the optimal business partner. Fuzzy systems provide the ideal capabilities to process multiple criteria, which are composed of imprecise information and attribute definitions expressed in natural language. The proposed fuzzy models implement the DEco Arch framework and ontologies which provide details about concepts and their relationships in virtual communities | |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | |
| dc.title | Fuzzy decision support for service selection in e-business environments | |
| dc.type | Conference Paper | |
| dcterms.source.startPage | 374 | |
| dcterms.source.endPage | 381 | |
| dcterms.source.title | 2007 IEEE symposium on computational intelligence in multi-criteria decision-making | |
| dcterms.source.series | 2007 IEEE symposium on computational intelligence in multi-criteria decision-making | |
| dcterms.source.isbn | 1424407028 | |
| dcterms.source.conference | 2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making | |
| dcterms.source.conference-start-date | 1 Apr 2007 | |
| dcterms.source.conferencelocation | Honolulu, Hawaii, USA | |
| dcterms.source.place | USA | |
| curtin.note |
Copyright © 2007 IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. | |
| curtin.accessStatus | Open access | |
| curtin.faculty | Curtin Business School | |
| curtin.faculty | School of Information Systems |