Abstract: To solve the problems existed in the chemical quality evaluation of flue-cured tobacco based on grey correlation analysis, an improved fuzzy grey correlation model was established by revising identification coefficient and reference vector and introducing the concept of grey entropy. New grey comprehensive evaluation value reflected the differences of the tested sample containing with both the best reference vector and the worst reference vector in terms of data curve. The model was validated with tobacco leaf samples from Sichuan. The results showed that the model was suitable for the chemical quality evaluation of flue-cured tobacco, the chemical quality evaluation result of Sichuan flue-cured tobacco leaves harvested from 2008 to 2012 was in the order of 2010> 2012> 2011> 2008> 2009, which was agreed with the facts.