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Volume 49 Issue 12
Dec.  2023
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Journal of Beijing University of Aeronautics and Astronautics  > 2023  >  49(12): 3547-3558.
ZHANG H B，WANG X，XU Y H，et al. Relative entropy method in target recognition with fuzzy features[J]. Journal of Beijing University of Aeronautics and Astronautics，2023，49（12）：3547-3558 （in Chinese） doi: 10.13700/j.bh.1001-5965.2020.0237
Citation: ZHANG H B，WANG X，XU Y H，et al. Relative entropy method in target recognition with fuzzy features[J]. Journal of Beijing University of Aeronautics and Astronautics，2023，49（12）：3547-3558 （in Chinese） doi: 10.13700/j.bh.1001-5965.2020.0237
shu

Relative entropy method in target recognition with fuzzy features

doi: 10.13700/j.bh.1001-5965.2020.0237
  • 1.

    Aeronautics Engineering College，Air Force Engineering University，Xi’an 710038，China

  • 2.

    95174 Troops of the PLA，Wuhan 430000，China

More Information
  • Corresponding author: E-mail：13399289501@189.cn
  • Received Date: 02 Jun 2020
  • Accepted Date: 09 Oct 2020
  • Publish Date: 21 Oct 2020
    Abstract

  • A relative entropy method combining fuzzy modeling and improved CRITIC was presented to recognize targets with fuzzy features. The observed values from multiple times were converted into fuzzy numbers through fuzzy modeling based on the statistical characteristics of multiple sets of the observed values. As a result of measuring the distance between the fuzzy numbers, similarities between the values of the target feature and the observed values were determined. The improved CRITIC was proposed to calculate the objective weights of the target features. According to the feature weights and the similarities between the target feature values and the observed values, the recognition result was obtained by the relative entropy evaluation method. The simulation results indicate that the uncertainty in target recognition is better reflected by the fuzzy features, and the proposed method has a high target recognition rate for the target with fuzzy features with good real-time and robustness, which has a certain application value.

     

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