The pricing problem for single product of reverse logistics is investigated in multi-cycle under fuzzy environment. Assuming that there is more parameters in the model are fuzzy numbers, the fuzzy expected value model is established, and solved by Genetic Algorithm. When discussing the pricing of single product and multi-cycle, considering the demand is the exponential function of the sale price, the optimal pricing decision is researched throughout the whole logistics system. The results show the profit of enterprise will be much higher with the participation of reverse logistics. Numerical examples are provided, and the validity and feasibility of the models and algorithm have been proved.