Employee performance assessment, as a core part of enterprise human resource management, has a direct impact on the operational efficiency and competitiveness of enterprises in terms of its accuracy and scientificity. This study proposes a comprehensive assessment model based on fuzzy logic and network analysis method (ANP) to address the complexity and ambiguity of enterprise employee performance assessment. The study first utilizes the ANP method to construct an assessment system with 12 indicators including 3 dimensions of work attitude, work ability and work performance, and determines the weights of each indicator through an expert questionnaire. Among them, work performance has the highest weight of 0.3964, work ability is the second highest of 0.3321, and work attitude is relatively low of 0.2721; among the specific indexes, sense of responsibility (0.1781), planning and efficiency (0.2171), and work progress (0.2943) occupy the first place among the dimensions respectively. The study used Mamdani-type fuzzy inference system, designed three fuzzy linguistic variables, established 27 fuzzy rule bases, and evaluated the employees of 10 service companies through Matlab/Simulink simulation platform. The results show that the comprehensive evaluation value of the planning and efficiency index is the highest at 59.65, learning and enterprising and commanding and managing are ranked second and third respectively, and the work progress is the lowest at 29.99. The study shows that the method effectively reduces the subjectivity of the evaluation process, improves the scientificity and operability of the evaluation, and provides decision-making support for the enterprises to formulate the employee motivation strategy.
