A Comprehensive Trust Model Based on Reputation and Fuzzy Theory

In Ubiquitous Network, the core problem is how heterogeneous terminals communicate credibly between each other. We will achieve communication and "Ubiquitous" between varieties of heterogeneous terminals only if more reliable interaction through heterogeneous terminals could be made. This paper puts present a Comprehensive Trust Model based on Reputation and Fuzzy subsystems (CFMBRF), indirect recommending trust calculation method of the model adopts the "an fuzzy based credibility evaluation method for indirect trust computation", then on the basis of the model based on reputation, import the fuzzy inference subsystems, it is able to handle subjective concept such as " importance of a interaction", "the decisions in the uncertainty region " and "setting the result of interaction ", can humanistic make decision about uncertain problem. This paper simulates the network having no-fuzzy subsystem and network which have the fuzzy subsystem, makes comparison between the two networks, tests overhead and stability of the CFMBRF. It can be seen that the network using the fuzzy subsystem greatly increased the validity of the interaction, decreased the number of query for the reputation vector, and proved the effectiveness of the CFMBRF model.