The mean value of a fuzzy number
Fuzzy Sets and Systems - Fuzzy Numbers
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Sets and Systems: Theory and Applications
Trust evaluation in ad-hoc networks
Proceedings of the 3rd ACM workshop on Wireless security
Review on Computational Trust and Reputation Models
Artificial Intelligence Review
A trust-enhanced recommender system application: Moleskiing
Proceedings of the 2005 ACM symposium on Applied computing
A Qualitative Bipolar Argumentative View of Trust
SUM '07 Proceedings of the 1st international conference on Scalable Uncertainty Management
IWTrust: improving user trust in answers from the web
iTrust'05 Proceedings of the Third international conference on Trust Management
A many valued representation and propagation of trust and distrust
WILF'05 Proceedings of the 6th international conference on Fuzzy Logic and Applications
Evaluating trust from past assessments with imprecise probabilities: comparing two approaches
SUM'10 Proceedings of the 4th international conference on Scalable uncertainty management
Goal generation from possibilistic beliefs based on trust and distrust
DALT'09 Proceedings of the 7th international conference on Declarative Agent Languages and Technologies
Evaluating trustworthiness from past performances: interval-based approaches
Annals of Mathematics and Artificial Intelligence
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In many multi-agent systems, the user has to decide whether he (or she) sufficiently trusts a certain agent to achieve a certain goal. To help users to make such decisions, an increasing number of trust systems have been developed. By trust system, we mean a system that gathers information about an agent and evaluates its trustworthiness from this information. The aim of the present paper is to develop new trust systems that overcome limitations of existing ones. This is a challenging problem that raises questions such as: how trustworthiness may be represented, and from which information it may be estimated? We assume that a set of grades describing the past performances of the agent is given. With this common basis, two approaches are proposed. In the first one, the aim is to construct an interval that summarizes the grades. Such an interval gives a good account of the trustworthiness of the agent. We establish axioms that should be satisfied by summarizing methods, devise a particular method based on pulling, and check that it satisfies the axioms, which provides theoretical justifications for it. In the second approach, which is more briefly presented, a level of trust as the certainty that a future grade will be good, and a level of distrust as the fear that a future grade may be bad, are computed on the basis of the past grades. This approach is based on possibility theory and provides, thanks to the two levels, another view of trustworthiness, as well as summarizing intervals.