A New Fuzzy Trust Prediction Approach

One of the significant issues in the field of trust modeling is trust prediction. Prediction of trust is an assessment of future trust values that depicts the level of the trust relationship that the Trusting Agent has with the Trusted Agent in a given context, in a given timeslot and with a given type of initial association relationship. In this study, by considering trust trends that depend on time of interactions between two agents, trust values in short–term period are simulated and by using different scenarios which are based on natural languages we consider concept of uncertainty and by applying Artificial Neural Networks (ANNs) we provide an accurate solution for the trust prediction problem.

Trust Prediction; Simulation; Fuzzy; ANN