Fuzzy logic, neural networks, and soft computing
Communications of the ACM
Supervised interaction: creating a web of trust for contracting agents in electronic environments
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
A fuzzy system based approach to social modeling in multi-agent systems
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Reputation and social network analysis in multi-agent systems
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Multi-agent infrastructure, agent discovery , middle agents for Web services and interoperation
Mutli-agents systems and applications
IEEE Internet Computing
Building Trustworthy Software Agents
IEEE Internet Computing
Trust in information sources as a source for trust: a fuzzy approach
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Intelligent data analysis
Bayesian Network-Based Trust Model
WI '03 Proceedings of the 2003 IEEE/WIC International Conference on Web Intelligence
Composition and evaluation of trustworthy Web Services
BSN '05 Proceedings of the IEEE EEE05 international workshop on Business services networks
Trust and Reputation for Service-Oriented Environments: Technologies For Building Business Intelligence And Consumer Confidence
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Moving towards automated service selection, contract negotiation, and contract fulfillment remains a promising vision for E-commerce systems. Trust is one of the main reasons why this vision is not put into practice in current E-commerce systems. Various theoretical models and technical concepts are in place to facilitate crucial factors such as system interoperability or communication-level security. However, proven models, to measure social values such as trustworthiness, reputation or credibility of service consumers and service providers in loosely coupled, distributed E-commerce systems, are the missing factors which prevent the adoption of automated service interaction. This paper demonstrates the application of our Fuzzy trust model in an E-commerce platform. We apply an exemplary business scenario to demonstrate the usage of our Fuzzy trust model.