The work aims to introduce game theory and cloud model theory to comprehensively evaluate the campus shared book cabinets, so as to solve the fuzziness and randomness in comprehensive evaluation of campus shared book cabinets. Firstly, the evaluation indicators collected extensively were screened for the coefficient of variation. Comprehensive evaluation indicators with different dimensions composed of operators, product design and using were established. Secondly, the subjective assignment weight and objective calculation weight formed by the combination of improved analytic hierarchy process and entropy weight method were used for game combination weighting. On this basis, cloud model theory was introduced to transform qualitative description into quantitative value, and the comprehensive evaluation and ranking were obtained through the data analysis and comparison. Finally, the feasibility of this method was verified with the comprehensive evaluation of three campus shared library cabinet samples as an example, and the sample optimization direction was analyzed by comprehensive cloud indicator parameters and cloud map comparison. This method can objectively and truly conduct a comprehensive evaluation of the product scheme. It has certain advantages in dealing with the fuzzy and random evaluation problems, and can effectively provide a quantitative analysis reference for the later optimization of the campus shared library cabinet.