A threat assessment method based on cloud model and particle swarm optimization

According to the target threat assessment in battlefield, a threat assessment method based on a combination of membership cloud and particle swarm optimization was proposed. This method can on one hand adjust weights automatically according to the overall distribution of the indexes´ value by utilizing particle swarm to optimize the weight, and on the other hand, establish a cloud model based on threat sequencing, as to make the assessment process fully take the fuzziness and randomness of threat information into account. Finally, a three-layer index system is built to test the method and the validity and rationality is verified.