Research of Trust Degree Evaluation for C2C E-Commerce Based on Fuzzy Neural Network

Because of anonymity and flexibility of C2C online transaction, trust plays a critical role. On successful E-business, so it is very important to evaluate this trust degree. However there are much fuzzy and uncertainty in this evaluation process, so an evaluation approach based on Fuzzy Neural Network (FNN) is pointed out and applied to solve this problem. FNN has such advantages as multiple rule layers, multiple neurons, strong learning ability, quick convergence rate and so on. Moreover, differential equations can be used to relate the input variables to the output variables, which facilitate the optimization. FNN is a good method to evaluate the trust degree for C2C e-commerce objectively and accurately.