@inproceedings{4455048a176e4dcd8d8646dd75408f2a,
title = "Air Combat Decision Based on Genetic Fuzzy Tree",
abstract = "To solve the issue that the accurate model of complex air combat process is difficult to establish and air combat is high real-time, an air combat decision-making based on genetic fuzzy tree is proposed. Taking a dual cooperative silent attack scenario as an example, the corresponding cascade fuzzy tree model is established, the parameter coding method of the fuzzy tree model is studied, and simulation verification is performed in the set air combat environment. The simulation results show that the method of genetic fuzzy tree is effective for air combat decision-making.",
keywords = "Air combat decision, Genetic fuzzy tree, Silent attack",
author = "Lulu Xue and Rui Zhou and Huaming Ran",
note = "Publisher Copyright: {\textcopyright} 2022, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; International Conference on Guidance, Navigation and Control, ICGNC 2020 ; Conference date: 23-10-2020 Through 25-10-2020",
year = "2022",
doi = "10.1007/978-981-15-8155-7\_456",
language = "英语",
isbn = "9789811581540",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "5515--5525",
editor = "Liang Yan and Haibin Duan and Xiang Yu",
booktitle = "Advances in Guidance, Navigation and Control - Proceedings of 2020 International Conference on Guidance, Navigation and Control, ICGNC 2020",
address = "德国",
}