Based on the analysis of the existing fuzzy density calculation methods

this paper explores a new method of calculating fuzzy density from the membership degree distribution and output consistency of the classifiers

and proposes a dynamic fuzzy density assignment method based on decision trust and support degree

which aims to describe the reliability of the classifier in the fusion system in real time according to the objective information output when each classifier identifies the specific target.The experimental results on facial expression recognition show that the proposed method can effectively improve the decision performance of fuzzy integral fusion and reduce the interference of unreliable decision information output by single classifier

which is an effective multi-classifier fusion method.