The invention discloses a weighted conflict evidence fusion method based on fuzzy classification, and the method comprises the following steps: firstly, obtaining the information of a plurality of evidences through a sensor, converting the evidences into single subset evidences through an interval probability assignment conversion formula, taking the evidences as vectors, obtaining the membership degree between the evidences, then, solving a fuzzy equivalence matrix through the membership matrix, and carrying out fuzzy classification on the evidence according to a threshold value; calculating the mutual support degree between the same type of evidences, obtaining the weight of each evidence in the same type of evidences based on the mutual support degree, and carrying out weighted average fusion on the evidences; and obtaining the fused new evidence, obtaining the weight of each evidence by combining the correlation support degree between the evidence and the credibility obtained by each evidence, and after the evidence is subjected to weighted fusion, carrying out secondary DS fusion. According to the method, fuzzy classification is carried out on the evidences, the weights of the evidences belonging to the same type and the evidences belonging to different types are obtained by adopting different methods, and the method has important theoretical significance and application value.