Abstract: The threat evaluation of emitters is regarded as a multi-attribute decision-making problem. A complete model for computing the threat metric values is established to realize the quantitative representation of the emitter threat degree, which is based on the rough set (RS) and technique for order preference by similarity to solution (TOPSIS), thus solving the problem of measuring emitter threat degree in real-time and quantitation without priori information. For the subjective limitation of structuring the standardized decision matrix in the process of determining the weights in TOPSIS, the RS theory is applied to compute the significance of evaluation indicators to obtain the weight coefficient, which is confirmed by calculating the rough dependability among evaluation indicators and evaluation results, avoiding the influence of subjective weight. The simulation result is consistent with the original data, which could prove the effectiveness of the proposed algorithm. In addition, the quantifiable threat function would contribute to assess and rank the threats more accurately. The results show that the proposed method has some practical value in engineering and could be used to evaluate the emitter threats.

Key words: ordnance science and technology, rough set, TOPSIS method, threat degree, attribute weight, attribute reduction