Application of Fuzzy Beliefs in Threat Assessment of Aerial Targets

To overcome the limitations of the traditional threat assessment algorithms, the fuzzy beliefs theory is applied in threat assessment of aerial targets and a multi-attribute threat sorting approach Based on the fuzzy belief is proposed in this paper. Target type, flight height, flight speed, time over the distant boundary, flight course angle and shortcut are selected as the assessment factors. The threat degree of each factor is modeled by quantitative number description or qualitative linguistic label description. The conjunctive rule is used to combine the threat degrees of the same kind of assessment factors, the decision discounting rule is used to combine the threat degrees of different kinds of assessment factors, and the centroid method is utilized to make threat sorting. The new approach can deal with the uncertainty of threat degrees, and the experimental results have certified its validity too.