In order to effectively prevent and control nosocomial infection, improve the humanization of hospital environment, and increase user satisfaction, the user preference and priority should be reasonably determined when discussing the design factors of medical disinfection robot. First of all, through literature research, field observation, semi-structured interview and questionnaire survey and other preliminary research methods, the user needs are obtained and the public reliability evaluation is carried out, so as to obtain the evaluation index system of medical disinfection robot design scheme; then, the initial weight is obtained by AHP, and the initial weight is modified according to the attribute coefficient determined by fuzzy Kano to get more scientific and more comprehensive. Finally, fuzzy mathematics theory is used to evaluate the overall design scheme and each index. The reliability and feasibility of the method are verified by an example of a medical disinfection robot. The fuzzy analysis method based on AHP-FKANO can effectively analyze the importance of user requirements and the emotional tendency of different needs, which can provide reference for the selection and optimization of the design scheme of medical disinfection products.