An improved FCM-based multi-target tracking data association algorithm (MFCMDA) is proposed to overcome the combinatorial explosion of calculating volumes when multi-objective data are on the Internet under the clutter environment. The forecast track would be converted into various sensors in space as their own observations of the cluster, and by substituting the membership measured by all quantities belong to the goal instead of associated probability in JPDAF, the multi-objective data associated problem can be converted into a fuzzy clustering one in performing associated computation. So the improved FCM based multi-target tracking data association algorithm can be taken to realize the association of track and measure by effectively using the historical information in target state estimation. The improved FCM based multi-target tracking data association algorithm is superior to the JPDAF algorithm in computation. The simulation results show that the method is effective.