Rejoinders to comments on “Perspectives on the theory and practice of belief functions”
International Journal of Approximate Reasoning - Special issue: The belief functions revisited: questions and answers
A Computational Model of Trust and Reputation for E-businesses
HICSS '02 Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 7 - Volume 7
Review on Computational Trust and Reputation Models
Artificial Intelligence Review
Architecture and algorithms for a distributed reputation system
iTrust'03 Proceedings of the 1st international conference on Trust management
Generating predictive movie recommendations from trust in social networks
iTrust'06 Proceedings of the 4th international conference on Trust Management
Practical aggregation operators for gradual trust and distrust
Fuzzy Sets and Systems
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As Web-based online communities are rapidly growing, the agents in social groups need to know their measurable belief of trust for safe and successful interactions. In this paper, we propose a computational model of trust resulting from available feedbacks in online communities. The notion of trust can be defined as an aggregation of consensus given a set of past interactions. The average trust of an agent further represents the center of gravity of the distribution of its trustworthiness and untrustworthiness. And then, we precisely describe the relationship between reputation, trust, and average trust through a concrete example of their computations. We apply our trust model to online Internet settings in order to show how trust mechanisms are involved in a rational decisionmaking of the agents.