Fuzzy engineering
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
A reputation-based approach for choosing reliable resources in peer-to-peer networks
Proceedings of the 9th ACM conference on Computer and communications security
The Eigentrust algorithm for reputation management in P2P networks
WWW '03 Proceedings of the 12th international conference on World Wide Web
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
A Reputation and Trust Management Broker Framework for Web Applications
EEE '05 Proceedings of the 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'05) on e-Technology, e-Commerce and e-Service
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
The Design of A Rule-based and Event-driven Trust Management Framework
ICEBE '07 Proceedings of the 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
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
Context based trust normalization in service-oriented environments
ATC'10 Proceedings of the 7th international conference on Autonomic and trusted computing
Journal of Global Optimization
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Reputation-based trust evaluation is critical to e-commerce or e-service applications. In some applications (such as eBay), the trust management mechanisms have been introduced to provide valuable information to buyers prior to placing orders and making payments. Meanwhile, the trust issue is also actively studied in the research community. However, in most existing studies, a single trust value is computed based on ratings given for a seller or a service provider to indicate the current trust level. This is interesting but too simple to reflect the service quality history and trust features well under some circumstances. It may also be misleading for the decision making of buyers or service customers. In this paper, we present a novel fuzzy regression based trust vector approach to depict the trust level with more indications, and predict the trustworthiness of a forthcoming transaction with its advertised QoS values and transaction history.