Aim: Because the uncertainty of remanufactured products quality, consumers' willingness to purchase them has the obvious characteristic of hesitant fuzzy. How to make use of these hesitant fuzzy information to study the consumer preferences is a key to develop the market of remanufactured products. Therefore, the decision-making method of consumer preferences for remanufactured products with hesitant fuzzy information is proposed to reveal the formation mechanism of remanufactured product purchase intention for remanufacturing enterprise. Methods: Firstly, the hesitant fuzzy information of consumer preferences for remanufactured products is transformed into a hesitant fuzzy set (HFZs), and hesitant fuzzy decision matrix is constructed. Then, In view of the limitation of the customer knowledge, the attribute weight of consumer purchase intentions for remanufactured products is completely unknown. The relative weight values of evaluation attributes are determined based on the maximum deviation model. The Euclidean distances of each consumer preference and the hesitant fuzzy positive ideal solution and negative ideal solution are calculated. Finally, we use the degree of closeness to sort the consumer preferences schemes for remanufactured products . Results: The feasibility and effectiveness of the method are illustrated through the choice of the service modes of a remanufacturing printing consumables, and the comparative analysis with the Fuzzy AHP method is carried on to demonstrate its superiority. Conclusion: This study provides practical implications by developing a decision-making method to help remanufacturers further expanding market. The study also theoretically contributes to evaluate the consumer psychology for remanufactured products with more objective and reasonable.