A method of fusion recognition based on the characteristic of target and incomplete data

According to the problem of incomplete data fusion recognition, a method based on target characteristics is proposed. The expected values of characteristics are gained firstly based on observation vector in this method, and they are combined with fuzzy reasoning method to get the evidence. Then the expectation evidence is obtained through the analysis of the importance of evidence. Finally the D-S evidence theory is used to fusion expect evidence aiming to get recognition result. The simulation results show that the method can not only solve the problem of incomplete data fusion and also can avoid conflict evidence.