Abstract: The Promotion of employees is an important element of human resources management, and the core content of talent development, and play an important role in promoting the harmonious development of enterprises. Promotion of employees is difficult but very important and sensitive and comprehensive part there should be no mistakes.

To avoid the adverse consequences caused by uncertainty, use the fuzzy comprehensive evaluation for promotion scientifically, which can get very good results. This is paper which will provide the in-depth description of difficulties in comprehensive evaluation, and according to the theory and method, and to construct a suitable fuzzy comprehensive evaluation model for promotion prediction of employees. Elected according to the model managers, capable of performing their job requirements. The article provides a good way for leadership of a company to address the issue of staff promotion.

Keywords: Attributes, Classification, Machine Learning, naïve bayes algorithm, Prediction.

| DOI: 10.17148/IARJSET.2023.10127