Fuzzy decision support for service selection in e-business environments

Schmidt, S.; Chang, Elizabeth; Dillon, Tharam S.; Steele, R.

doi:10.1109/MCDM.2007.369116

116521_Fuzzy%20decision%20support%20PID%20116521.pdf (9.411Mb)

Access Status

Open access

Authors

Schmidt, S.

Chang, Elizabeth

Dillon, Tharam S.

Steele, R.

Date

2007

Type

Conference Paper

Metadata

Show full item record

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).

Source Title

2007 IEEE symposium on computational intelligence in multi-criteria decision-making

Source Conference

2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making

DOI

10.1109/MCDM.2007.369116

ISBN

1424407028

Faculty

Curtin Business School

School of Information Systems

Remarks

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.

URI

http://hdl.handle.net/20.500.11937/14737

Collection

Curtin Research Publications

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