The methods of traditional target intention recognition can ’t comprehensively establish model of similarity among attributes. In order to elaborate on the complex situation of actual battlefields

a high-dimensional data similarity model using the fusion of the modified spatial similarity and attribute similarity is proposed to roundly compute the support degree of various properties of target on situational intention

which contributes to improving the accuracy of target intention recognition

use the obtained high-dimensional data similarity to sequentially recognize targets by means of theory of D-S evidence. Simulation results show that the method is not only effective

but also improves the accuracy of target intention recognition

which open up a new way for solving the target tactical intention recognition.