The evidence classification strategy is a useful conflict evidence reasoning and fusion method, but in practice it would bring a great deal of repetitive class. In order to reduce the number of class and improve the efficiency of evidence classification strategy, an evidence classification strategy based on similarity of evidence is proposed. First by taking the initially evidence in evidence reasoning as the ideality evidence, scaling the distance between each evidence and the ideality evidence, the evidences in the system are divided into two classes according to the similarity of them. Then the classification will continue with the above classification strategy till it will be impossible. Finally the following workings such as combining the classified results with Dempster combination rule, scaling the reliability of the classification results and weighting the Dempster combination result are done. The strategy is validated through an example. The result shows that the evidence classification strategy based on similarity of evidence can reduce the number of class effectively.