The perceptual expectations of users are increasingly concerned by product designers and companies. In order to solve the complexity and subjectivity problems in the evaluation process of product design schemes under multi-dimensional perceptual appeals, from the perspective of Kansei Engineering (KE), using hesitant fuzzy sets as the evaluation information carrier, a new approach is proposed under the framework of the TOPSIS method. The hesitation of fuzzy Kansei-TOPSIS evaluation method. First, the composite perceptual image in perceptual engineering is introduced to quantify the user's emotional information. Secondly, in order to fully reflect the fuzziness and uncertainty of perceptual preference and maximize the use of the evaluation information of the evaluation group, the evaluation information of the evaluation group's perceptual preference is represented in the form of hesitation fuzzy numbers. At the same time, considering that the distance formula in TOPSIS cannot consider the unique time structure distribution characteristics of perceptual evaluation information, a hesitant fuzzy correlation entropy measure is constructed to measure the difference between the evaluation plan and the ideal plan. Finally, we take the smart phone as an example, and compare and analyze with related methods to verify the scientific rationality of the proposed method.