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Volume 42 Issue 8
Aug.  2016
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Journal of Beijing University of Aeronautics and Astronautics  > 2016  >  42(8): 1755-1761.
FAN Xiangyu, WANG Hongwei, SUO Zhongying, et al. Radiator threat evaluating method based on rough set and information entropy[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(8): 1755-1761. doi: 10.13700/j.bh.1001-5965.2015.0663(in Chinese)
Citation: FAN Xiangyu, WANG Hongwei, SUO Zhongying, et al. Radiator threat evaluating method based on rough set and information entropy[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(8): 1755-1761. doi: 10.13700/j.bh.1001-5965.2015.0663(in Chinese)
shu

Radiator threat evaluating method based on rough set and information entropy

doi: 10.13700/j.bh.1001-5965.2015.0663
  • 1.

    Aeronautics and Astronautics Engineering College, Air Force Engineering University, Xi'an 710038, China

  • 2. College of Electronic and Information, Northwestern Polytechnical University, Xi'an 710072, China

  • 3. College of Science, Air Force Engineering University, Xi'an 710051, China

  • Received Date: 14 Oct 2015
  • Publish Date: 20 Aug 2016
    Abstract
  • In order to meet the need of threat ranking arithmetic of air radar emitter in complex electronic environment, the rough set theory is introduced into radar radiator threat evaluation. A self-contained data processing model for computing threat metric values is established to realize the quantitative representation of the radiator threat degree, thus allowing evaluating the threat degree of emitter straightforward. The information entropy is applied to determine the attribute with the maximal weight instead of decision one, solving the decision-making problem when there is no prior knowledge, which can be used to extend the range of application of classical rough set. This model is based on data-boost method to acquire the radiator threat metric values directly, which is easily realized and has favorable time-efficient feature. The method reduces the demand of system for prior information and avoids the effect introduced by subjective assignments. The simulation results show that the method has good ability to accomplish target threat assessment fleetly and exactly.

     

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