Abstract: In view of the shortcomings of common evaluation methods of residential air conditioning system performance evaluation, such as incomplete evaluation index, complex evaluation process and subjective evaluation results, a fuzzy comprehensive evaluation method of residential air conditioning system performance was proposed. Considering the green and low-carbon development requirements of air conditioning industry, the outdoor environment and technical characteristics related indicators were added on the basis of the original evaluation indicators, the analytic hierarchy process was used to establish the performance evaluation index system of residential air conditioning system, the expert survey method and information entropy method were used to assign and revise the proportions of the indicators respectively, and the distribution function method and grade proportion method were used to calculate the membership degree of quantitative and qualitative indicators. Finally, the fuzzy comprehensive evaluation was carried out. Two typical residential air conditioning system schemes, variable refrigerant volume system and temperature and humidity independent control system, were evaluated by AHP and this method respectively to verify the scientific rationality of this method. The results show that the comprehensive evaluation grade of the two evaluation methods for variable refrigerant volume system and temperature and humidity independent control system are both grade Ⅱ, and the comprehensive evaluation value of the analytic hierarchy process is 53.72 and 53.43, respectively. The evaluation results of the two schemes are almost the same, and the two schemes have no obvious advantages and disadvantages, which is difficult to provide reference for the selection of air conditioners. As for the method in this paper, the difference between the evaluation results of the two schemes is obvious, which can provide a reference for the selection of air conditioners. This is because the evaluation index of this method is more comprehensive, and the quantification of complex problems is completed under the function of fuzzy evaluation method and information entropy method, which can make up for the shortcomings of complex evaluation process and strong subjectivity of evaluation results.