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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Applications to Information Management: How to Estimate Degree of Trust
verfasst von : Hung T. Nguyen, Vladik Kreinovich, Berlin Wu, Gang Xiang
Erschienen in: Computing Statistics under Interval and Fuzzy Uncertainty
Verlag: Springer Berlin Heidelberg
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In this chapter, we use the probabilistic and interval uncertainty to estimate the degree of trust in an agent. Some of these results first appeared in [56, 141].
Results and Algorithms
In the traditional approach to trust, we either trust an agent or not. If we trust an agent, we allow this agent full access to a particular task. For example, I trust my bank to handle my account; the bank (my agent) outsources money operations to another company (sub-agent), etc. The problem with this approach is that I may have only 99.9% trust in bank, bank in its contractor, etc. As a result, for long chains, the probability of a security leak may increase beyond any given threshold. To resolve this problem, we must keep track of trust probabilities.