Decision support for fuzzy comprehensive evaluation of urban development
Fuzzy Sets and Systems
REGRET: reputation in gregarious societies
Proceedings of the fifth international conference on Autonomous agents
A reputation-based approach for choosing reliable resources in peer-to-peer networks
Proceedings of the 9th ACM conference on Computer and communications security
Market, Hierarchy, and Trust: The Knowledge Economy and the Future of Capitalism
Organization Science
The Eigentrust algorithm for reputation management in P2P networks
WWW '03 Proceedings of the 12th international conference on World Wide Web
Trust Is Much More than Subjective Probability: Mental Components and Sources of Trust
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 6 - Volume 6
Limited reputation sharing in P2P systems
EC '04 Proceedings of the 5th ACM conference on Electronic commerce
PeerTrust: Supporting Reputation-Based Trust for Peer-to-Peer Electronic Communities
IEEE Transactions on Knowledge and Data Engineering
Task delegation using experience-based multi-dimensional trust
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Trust evaluation through relationship analysis
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Trust2: Developing Trust in Peer-to-Peer Environments
SCC '05 Proceedings of the 2005 IEEE International Conference on Services Computing - Volume 01
Trusted P2P Transactions with Fuzzy Reputation Aggregation
IEEE Internet Computing
A survey of trust and reputation systems for online service provision
Decision Support Systems
SybilGuard: defending against sybil attacks via social networks
IEEE/ACM Transactions on Networking (TON)
ArnetMiner: extraction and mining of academic social networks
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Reputation-Oriented Trustworthy Computing in E-Commerce Environments
IEEE Internet Computing
The Evaluation of Situational Transaction Trust in E-Service Environments
ICEBE '08 Proceedings of the 2008 IEEE International Conference on e-Business Engineering
A Trust Vector Approach to Service-Oriented Applications
ICWS '08 Proceedings of the 2008 IEEE International Conference on Web Services
Fuzzy Regression Based Trust Prediction in Service-Oriented Applications
ATC '09 Proceedings of the 6th International Conference on Autonomic and Trusted Computing
DSybil: Optimal Sybil-Resistance for Recommendation Systems
SP '09 Proceedings of the 2009 30th IEEE Symposium on Security and Privacy
Deriving a large scale taxonomy from Wikipedia
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Formal trust model for multiagent systems
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Large-scale taxonomy mapping for restructuring and integrating wikipedia
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Trust-Oriented Composite Service Selection and Discovery
ICSOC-ServiceWave '09 Proceedings of the 7th International Joint Conference on Service-Oriented Computing
QoS-Based service selection and ranking with trust and reputation management
OTM'05 Proceedings of the 2005 Confederated international conference on On the Move to Meaningful Internet Systems - Volume >Part I
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With the development of information technology, the issue of trust becomes more and more important. In e-commerce or service-oriented environments, when there are a few sellers or service providers providing the same product/service, the buyer or service client would like to request the trust management authority to provide trust values of sellers or service providers, which are based on the ratings reflecting the quality of previous transactions. In addition, trust is context dependent, i.e. for different context of transactions, there are different factors influencing the trust result. In this paper, we propose a fuzzy comprehensive evaluation based method for building up a projection from the trust ratings in the transaction history of a service provider to an upcoming transaction depending on the similarity between previous transactions and the upcoming one, and the familiarity between each rater and the service client of the upcoming transaction. This process is termed as context based trust normalization. After trust normalization, normalized trust ratings are used for trust evaluation, the results of which would be closely bound to the upcoming transaction. Finally, we introduce the results of our conducted experiments to illustrate how our proposed method can detect some typical risks.