Ranking Aerial Targets Based on Evidence Theory and Intuitionistic Fuzzy Sets

摘要

Ranking the aerial threat targets is very critical in automatic military systems. Problems in threat assessment are complex by nature. How to combine interval data from different sensors in target threat assessment is an open issue. In this paper, a new model to evaluate target threat based on Dempster Shafer theory and Intuitionistic Fuzzy Set (IFS) is proposed. First, interval numbers are transformed into Basic Probability Assignment (BPA), and BPAs are fused through combination rule. Then the comprehensive BPA is converted to IFS. Finally, the ranking order of targets is determined by TOPSIS with the distance of IFS based on the Hausdorff metric. A numerical example is used to illustrate the efficiency of the proposed model.