A method for multi-sensor track association based on interval number and DS evidence theory is presented.Through analyzing the influence of error on parameter measurement, the interval numbers of target parameter true value detected by the sensors are established.The relative support level between the interval numbers is calculated, based on which the support level of track association about target parameter is obtained.Then, the support levels about track association of different parameters are combined based on DS evidence theory, and thus the problem of track association is solved.Examples show that this method is effective for multi-sensor track association.