Target Tactical Intention Recognition Based on Fuzzy Dynamic Bayesian Network
Authors
Zhen Lei, Zhi-ming Dong, Dong-ya Wu
Corresponding Author
Dong-ya Wu
Available Online July 2019.
- DOI
- 10.2991/masta-19.2019.41How to use a DOI?
- Keywords
- Fuzzy Bayesian network, Dynamic Bayesian network, Tactical intention, Normalized processing
- Abstract
In order to make full use of the advantage of fuzzy set theory in discretizing continuous variables and reduce the uncertainty brought by traditional static Bayesian network, this paper applies the method of fuzzy dynamic Bayesian network to reasoning learning of battlefield target tactical intention recognition based on the analysis of the observation values of height, speed and distance. The simulation results show that the method is effective and can provide new ideas for target tactical intention recognition.
- Copyright
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Zhen Lei AU - Zhi-ming Dong AU - Dong-ya Wu PY - 2019/07 DA - 2019/07 TI - Target Tactical Intention Recognition Based on Fuzzy Dynamic Bayesian Network BT - Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019) PB - Atlantis Press SP - 241 EP - 244 SN - 1951-6851 UR - https://doi.org/10.2991/masta-19.2019.41 DO - 10.2991/masta-19.2019.41 ID - Lei2019/07 ER -