Prediction of Air Target Intention Utilizing Incomplete Information

Author:

Xia Pengcheng,Chen Mou,Zou Jie,Feng Xing

Publisher

Springer Singapore

Reference8 articles.

1. Wang H (2011) Research on air target intention recognition based on multi-entities Bayesian network [D]. National University of Defense Technology

2. Zhiqiang Zhou, Jiangang Qian, Kangyin Yin et al (2014) Method of target prediction based on DS evidence theory [J]. J Air Force Early Warning Acad 28(2):116–118

3. Dong Y (2014) Study on approach of incomplete & inconsistent data analysis and decision making based on soft set theory [D]. Chongqing University

4. Liang M (2005) Rough set approach to data mining in incomplete information systems [D]. Guangxi University

5. Yanluo Geng, Changsheng Jiang (2004) Multi-fighter coordinated multi-target attack system [J]. Trans Nanjing Univ Aeronaut Astronaut 21(1):18–23

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1. KGTLIR: An Air Target Intention Recognition Model Based on Knowledge Graph and Deep Learning;Computers, Materials & Continua;2024

2. Analysis of airborne formation combat intent based on attention-based multi-level LSTM;Third International Conference on Control and Intelligent Robotics (ICCIR 2023);2023-12-01

3. BiLSTM-TCN: An Aerial Target Intent Recognition Model;2023 China Automation Congress (CAC);2023-11-17

4. Predicting War Outcomes Based on a Fuzzy Influence Diagram;International Journal of Fuzzy Systems;2021-02-06

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