The current lack of comprehensive assessment tools and scientific assessment mechanism in universities makes it difficult to objectively reflect the level of asset management, and it is necessary to establish an assessment system based on the combination of quantitative and qualitative, to promote the modernization of asset management in universities and improve the efficiency of resource utilization. This study constructs a performance assessment and appraisal method for asset management in public colleges and universities, aiming to improve the efficiency of asset management and rationality of resource allocation in colleges and universities. The study firstly constructs an evaluation system containing 5 first-level indicators and 20 third-level indicators including talent training performance and research and education performance, applies hierarchical analysis to determine the subjective weights, CRITIC method to determine the objective weights, realizes the combination of weights based on the weighted least squares method, and finally establishes an evaluation model by combining with the theory of cloud modeling. The case analysis shows that the characteristic parameters of the comprehensive evaluation cloud model for asset management in University A are (71.2563, 1.3652, 0.2365), the risk level is “medium risk”, and the risks of indicators such as academic learning, utilization of instruments and equipment, and external recognition are relatively high. The top three indicators in terms of comprehensive weight ranking are academic learning (0.085), asset income (0.084), and cultural quality (0.082) respectively. Based on the assessment results, the study puts forward three optimization suggestions, namely, strengthening the dynamic monitoring of the assessment process, establishing a smooth complaint and communication channel, and establishing a sound accountability mechanism for the assessment results, so as to provide scientific basis and decision-making support for the asset management of colleges and universities. The assessment model established in this study can effectively reflect the performance status of asset management in universities, which is of practical significance for improving the level of asset management in universities.
