| Citation: | XU Yuheng, CHENG Siyi, PANG Mengyanget al. Dynamic radiator threat assessment based on CRITIC-TOPSIS[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(11): 2168-2175. doi: 10.13700/j.bh.1001-5965.2019.0585(in Chinese)
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In order to solve the problem that the traditional radiator threat assessment method is not closely related to the dynamic situation of air combat and to improve the assessment accuracy, an algorithm combining the inverse form of Poisson distribution with Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method is proposed. The Criteria Importance Through Intercriteria Correlation (CRITIC) method is also introduced to assign the attribute weight, and the dynamic radiator threat assessment model based on CRITIC-TOPSIS is constructed. In view of the deficiency of the traditional method that only relies on the current detection and collection data and does not reflect the dynamic change of air combat situation, the Poisson distribution inverse form is adopted to fuse the radiator data information at multiple moments to realize the dynamic assessment. In view of the problem that traditional TOPSIS method relies on subjective assignment, the CRITIC method comprehensively considers the correlation within single index and among multiple indexes, and can completely describe the attribute information and objectively assign the attribute weight. The simulation results show that, compared with the traditional static assessment model, the model in this paper is more discriminative for radiator with different threat degrees, and has higher assessment accuracy and reliability.
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