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Trust has been proven to be essential to enforce cooperative behavior in distributed environments. In Trustworthy computing, it should capture contextual information to evaluate peers' trustworthiness because of context directly affects the level of trust. So, a context-sensitive computation model is presented to help user to make trust decision.
In open and distributed environment, model selection of decision-making is difficult due to the lack of model's knowledge. In order to find an effective mechanism for decision parties, semantics based trust and reputation computations are introduced into decision-making. Trust between decision parties and models are divided into trust dependence and trust relationship which demonstrate the matching...
In this paper we reinforce the benefits of a trust based approach in mobile multi-agent systems. Whilst we do not specify a trust model we provide a framework for property based trust, defining the observations which underpin many pre-existing trust models. This framework maintains subjectivity which should be the basis of any trust based system yet enables entities to communicate and collaborate...
In order to improve the robustness and accuracy of multi-domain evaluation, in response to the subjectivity of the inter-domain trust, this paper presents a target-restriction-free collaborative evaluation and decision-making algorithm based on fuzzy partial ordering relation. It also presents a mathematical model for evaluation and decision-making in the environment of multi-domain. In conclusion,...
Trust is a particularly crucial issue for virtual project team (VPT) success because numerous project tasks are interdependent, making team members reliant on the functional expertise of their partners. The challenge to develop trust is particularly complex because trust should consider various factors into different assessments made during different VPT phases (early, middle and late project phases)...
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