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Radar LPI performance assessment method based on extended G-GIFSS algorithm

WU Hua, SHI Zhongya, SHEN Wendi, WANG Jingshang, WANG Wenzhe   

  1. Aeronautics and Astronautics Engineering College, Air Force Engineering University, Xi’an 710038, China
  • Online:2017-05-25 Published:2010-01-03

Abstract:

Rational radar low probability interception (LPI) performance assessment method is the basis of improving radar stealth performance. For it is difficult to assess radar LPI performance in time and effectively, an algorithm combining groupgeneralized intuitionistic fuzzy soft sets (G-GIFSS) with objective and subjective weight is proposed. Firstly, it chooses six index layers from three rule layers which reflect radar LPI performance. The intuitionistic fuzzy set entropy is used to get objective weight and the analytic hierarchy process (AHP) is used to get subjective weight. Then subjective and objective weights are combined linearly. With the advantage of several experts’ parameter sets of the G-GIFSS algorithm, radar LPI performance is evaluated comprehensively. The case analysis and comparison with classical assessment algorithms show that the algorithm is more effective.

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