DocumentCode
2752705
Title
Fuzzy Decision Support for Service Selection in E-Business Environments
Author
Schmidt, Stefan ; Chang, Elizabeth ; Dillon, Tharam ; Steele, Robert
Author_Institution
Fac. of IT, Technol. Univ., Sydney, NSW
fYear
2007
fDate
1-5 April 2007
Firstpage
374
Lastpage
381
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
Keywords
decision making; decision support systems; electronic commerce; fuzzy logic; ontologies (artificial intelligence); peer-to-peer computing; security of data; DEco Arch framework; P2P; autonomous agents; decision making; distributed virtual communities; e-business environments; e-commerce markets; fuzzy decision support; fuzzy logic; natural language; ontologies; semantic overlay networks; service selection; Australia; Autonomous agents; Decision making; Fuzzy systems; Information security; Instruments; Ontologies; Portals; Protection; Stability; Credibility; Fuzzy Logic; Ontology; P2P; Reputation; Trust; e-business;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence in Multicriteria Decision Making, IEEE Symposium on
Conference_Location
Honolulu, HI
Print_ISBN
1-4244-0702-8
Type
conf
DOI
10.1109/MCDM.2007.369116
Filename
4223031
Link To Document