Multi-domain evaluation method for RF stealth performance based on IFA-TOPSIS with hesitant fuzzy sets

With the development of airborne passive detection equipment, radio frequency (RF) stealth performance evaluation becomes more and more important. This is a comprehensive and complex problem. Firstly, RF stealth performance evaluation is not the optimization of a few indices but a comprehensive evaluation model. Secondly, it is a combination of technology and military tactics, which also needs to be integrated with practical application. In views of this problem, this paper proposes an evaluation method for RF stealth performance based on improved firefly algorithm (IFA) and technique for order preference by similarity to ideal solution (TOPSIS) with hesitant fuzzy sets. From the perspective of the radar radiating, a multi-domain evaluation system is established, which divided into four sub-indicators. Then the optimal attribute weights are obtained based on analyzing attributes and solutions. According to the closeness between different solutions and ideal solutions, the radar RF stealth performance ranking is obtained. Finally, numerical simulations demonstrate the effectiveness of the proposed new approach.