In order to efficiently measure the conflict degree between the fusion evidences, an Evidence conflict measurement based on the Einstein operator is proposed based on the analysis of conflict coefficients and typical evidence conflict measure shortcomings. First, the evidences vector measure is used to give the difference matrix between the evidences and the logarithmic form of the difference coefficient is defined. Then, the similarity relation between the fuzzy sets is introduced to define the correlation coefficient between the evidence. Finally, the difference and correlation between two pieces of evidence are considered, the Einstein operator is used to define a new evidence conflict measurement coefficient. The simulation results indicate that this method not only can effectively measure the degree of conflict between evidences, but also has a good convergence on the fusion of conflict evidences.