Open Access
Issue |
JNWPU
Volume 41, Number 6, Decembre 2023
|
|
---|---|---|
Page(s) | 1054 - 1063 | |
DOI | https://doi.org/10.1051/jnwpu/20234161054 | |
Published online | 26 February 2024 |
- XIAO Liming, QI Haisheng, QU Jikun, et al. Air target threat assessment based on intuitionistic fuzzy analytic hierarchy process[J]. Journal of Detection & Control, 2019, 41(3): 108–111 (in Chinese) [Google Scholar]
- ZHANG Yanfeng, LIU Jianshu, ZHANG Shifeng. A multi-attribute threat assessment method based on analytical hierarchy process and entropy method[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2019, 39(2): 163–165 (in Chinese) [Google Scholar]
- GUO Jia. Multiple attribute decision making based air-targets threat assessment methods[D]. Beijing: Beijing Institute of Technology, 2017 (in Chinese) [Google Scholar]
- GAO Yang, HUANG Yangchao, CHENG Guobing, et al. Multi-target threat assessment method based on vikor and three-way decisions under intuitionistic fuzzy information[J]. Acta Electronica Sinica, 2021, 49(3): 542–549 (in Chinese) [Google Scholar]
- WU Hua, SU Xiuqin. Threat assessment of aerial targets based on group generalized intuitionistic fuzzy soft sets[J]. Control and Decision, 2015, 30(8): 1462–1468 (in Chinese) [Google Scholar]
- WANG Yu, ZHANG Weiguo, FU Li, et al. Dynamic situation assessment method of aerial warfare based on improved evidence network[J]. Acta Aeronautica et Astronautica Sinica, 2015, 36(12): 3896–3909 (in Chinese) [Google Scholar]
- BENAVOLI A, RISTIC B, FARINA A, et al. An approach to threat evaluation based on evidential networks[C]//10th International Conference on Information Fusion, 2007 [Google Scholar]
- HU Tao, WANG Dong, SUN Yao, et al. Air combat threat assessment of improved CRITIC-LRA and grey TOPSIS[J]. Acta Armamentarii, 2020, 41(12): 2561–2569 (in Chinese) [Google Scholar]
- ZHANG Haowei, XIE Junwei, GE Jiaang. Intuitionistic fuzzy set threat assessment based on improved TOPSIS and multiple times fusion[J]. Systems Engineering and Electronics, 2018, 40(10): 2263–2269 (in Chinese) [Google Scholar]
- LIU Haibo, WANG Heping, SHEN Liding. Target threat assessment using SAPSO and grey neural network[J]. Journal of Northwestern Polytechnical University, 2016, 34(1): 26–32 [Article] (in Chinese) [Google Scholar]
- CHEN Xia, LIU Zilong, LIANG Wenli. Assessment of aerial target threat based on genetic algorithm optimizing fuzzy recurrent wavelet neural network[J]. Journal of Northwestern Polytechnical University, 2019, 37(2): 424–432 [Article] (in Chinese) [CrossRef] [EDP Sciences] [Google Scholar]
- XI Zhifei, XU An, KOU Yingxin, et al. Target threat assessment in air combat based on PCA-MPSO-ELM algorithm[J]. Acta Aeronautica et Astronautica Sinica, 2020, 41(9): 323895 (in Chinese) [Google Scholar]
- GUO Hui, XU Haojun, LIU Ling. Threat assessment of air combat based on support vector machines for regression[J]. Journal of Beijing University of Aeronautics and Astronautics, 2010, 36(1): 123–126 (in Chinese) [Google Scholar]
- LI Wei. Design of autonomous decision-making method and simulation platform for ground combat of RSIUAV[D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2020 (in Chinese) [Google Scholar]
- LIU Yuefeng, CHEN Shaodong, ZHAO Zhenyu, et al. Threat assessment of manned/unmanned combat aerial vehicle formation air-to-ground attack based on FBNs[J]. Systems Engineering and Electronics, 2012, 34(8): 1635–1639 (in Chinese) [Google Scholar]
- DI Ruohai, GAO Xiaoguang, GUO Zhigao. The modeling method with Bayesian networks and its application in the threat assessment under small data sets[J]. Acta Electronica Sinica, 2016, 44(6): 1504–1511 (in Chinese) [Google Scholar]
- GUO Zhigao. Research on parameter learning of Bayesian networks from small data sets[D]. Xi'an: Northwestern Polytechnical University, 2019 (in Chinese) [Google Scholar]
- DAPHNE Koller, NIR Friedman. Probabilistic graphical models[M]. Cambridge, Massachusetts: MIT Press, 2009 [Google Scholar]
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