International Journal of Man-Machine Studies
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
Intelligent Software Agents: Foundations and Applications
Intelligent Software Agents: Foundations and Applications
Methods and metrics for cold-start recommendations
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Multi-agent infrastructure, agent discovery , middle agents for Web services and interoperation
Mutli-agents systems and applications
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
Trust and Reputation for Service-Oriented Environments: Technologies For Building Business Intelligence And Consumer Confidence
Fuzzy trust evaluation and credibility development in multi-agent systems
Applied Soft Computing
A trust model based on fuzzy recommendation for mobile ad-hoc networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Viewpoints on emergent semantics
Journal on Data Semantics VI
Fuzzy service selection and interaction review in distributed electronic markets
TrustBus'07 Proceedings of the 4th international conference on Trust, Privacy and Security in Digital Business
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In automated and unsupervised multi-agent environments, where agents act on behalf of their stakeholders, the measurement and computation of trust is a key building block upon which all business interaction scenarios rely. In environments, where the individual and independent calculation of trustworthiness values for future negotiation partners is desired, flexible algorithms and models imitating human reasoning are crucial. This paper introduces a trust evaluation model that imitates human reasoning by using fuzzy logic concepts. Furthermore, post-interaction processes such as business interaction reviews and credibility adjustment are used to continuously build and refine an information repository for future trust evaluation processes. Fuzzy logic offers a mathematical approach encompassing uncertainty and tolerance of imprecise data, and combined with our highly customizable model, it allows to meet the security needs of different stakeholders.