Abstract: For the large number of clustering objects with more dimensions and more complex，the system clustering is more complex． The fuzzy comprehensive evaluation clustering method clustering results are not accurate enough，the number of which is difficult to control． For this reason，a system clustering algorithm based on fuzzy comprehensive evaluation is proposed． This method performs fuzzy comprehensive evaluation on complex objects or objects which are restricted by many factors，extracts the whole features of the objects，and uses system clustering to cluster them． The validity of the algorithm is verified by clustering analysis of the test scores of five classes． Experimental results show that this method can effectively improve the accuracy of clustering，integrity，maneuverable，simplicity and so on．

Key words: fuzzy comprehensive evaluation, system clustering, student performance analysis