Multi-target dynamic threat assessment in mixed air combat based on FD-TODIM

被引：1
|
作者：
Zhang K. [1 ,2 ]
Zhang Z. [1 ]
Liu Z. [1 ]
Li K. [1 ]
Liu P. [1 ]
机构：
[1] School of Electronics and Information, Northwestern Polytechnical University, Xi'an
[2] Science and Technology on Electro-Optical Control Laboratory, Luoyang
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2023年 / 45卷 / 01期
关键词：
dynamic threat assessment; fuzzy dynamic interactive multi-criteria decision-making (FD-TODIM); individual behavior; mixed situation;
D O I：
10.12305/j.issn.1001-506X.2023.01.18
中图分类号：
学科分类号：
摘要：
Aiming at the "state imbalance" in traditional air combat situation threat assessment and the difficulty in reflecting the differences in individual decision-makers' behaviors, a situation weight analysis method based on variable weight theory and a time series weight generation algorithm based on normal cumulative distribution are firstly proposed to process the situation information of air combat at multiple times and solve the problem of dynamic matching of attribute parameters and weights. Secondly, considering the characteristics of pilots' bounded rationality and individual behavior differences with the complicated situation information, a mixed air combat multi-target threat assessment method based on the fuzzy dynamic interactive multi-criteria decision-making (FD-TODIM) algorithm is proposed. Meanwhile, simulation verification and analysis are carried out. The simulation results show that the model can fully explore the influence of historical information, effectively integrate the complicated information of the mixed air combat situation at multiple times, and generate practical air combat threat situation assessment results according to the individual differences of different pilots. © 2023 Chinese Institute of Electronics. All rights reserved.
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页码：148 / 154
页数：6
相关论文
共 30 条
  • [1] ZHANG K, WANG X, ZHANG C K, Et al., Evaluating and sequencing of air target threat based on IFE and dynamic intuitionistic fuzzy sets, Systems Engineering and Electronics, 36, 4, pp. 697-700, (2014)
  • [2] YANG J J, WU C X, XIAO J, A dynamic assessment method of air attack target threat based on SPA, Fire Control & Command Control, 46, 5, pp. 6-11, (2021)
  • [3] YU D, WANG H J, YUAN J Y., Method of unknown target risk analysis and threat assessment for UUVs, Proc. of the 39th Chinese Control Conference, pp. 594-599, (2020)
  • [4] MENG G L, GONG G H, Threat assessment of aerial targets based on hybrid Bayesian network, Systems Engineering and Electronics, 32, 11, pp. 2398-2401, (2010)
  • [5] HONG F Y, HONG J W, YI M L, Et al., Research on unmanned underwater vehicle threat assessment, IEEE Access, 7, pp. 11387-11396, (2019)
  • [6] MA S D, YANG G Q, ZHANG H Z, Et al., Target threat level assessment technology based on cloud model and Bayesian revision in air combat simulation, Proc. of the 35th Chinese Control Conference, pp. 9753-9757, (2016)
  • [7] DI R, GAO X G, GUO Z G, Et al., A threat assessment method for unmanned aerial vehicle based on Bayesian networks under the condition of small data sets, Mathematical Problems in Engineering, 2018, (2018)
  • [8] JIN C, SUN J, CAI P S, Et al., Threat comprehensive assessment for air defense targets based on intuitionistic fuzzy TOPSIS and variable weight VIKOR, Systems Engineering and Electronics, 44, 1, pp. 172-180, (2022)
  • [9] SHEN H, HU L Y, LAI K K, A mathematical programming model to determine objective weights for the interval extension of TOPSIS, Mathematical Problems in Engineering, 2018, (2018)
  • [10] HU T, WANG D, SUN Y, Et al., Air combat threat assessment of improved CRITIC-LRA and grey TOPSIS, Acta Armamentarii, 41, 12, pp. 2561-2569, (2020)
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