To acquire students′ grasping state of the knowledge points and further predict their scores in future tests, a cognitive diagnosis model is applied to explore students′ talent traits by using their test scores and the relationship between a test topic and its knowledge point. However, the available cognitive diagnosis models generally ignore the influence of the number of knowledge points mastered, the mastery degree of knowledge points and the importance of knowledge points on cognitive diagnosis in subjective questions. So a revised fuzzy cognitive diagnosis framework (FuzzyCDF) model is proposed in this paper, which assumes that the probability of answering correctly increases as the number of knowledge points mastered increases in cognitive diagnosis in subjective questions and takes into consideration the influence of the importance of knowledge points on cognitive diagnosis. Experimental results illustrate that the revised FuzzyCDF model can further improve the accuracy of cognitive diagnosis.