Target Tactical Intention Recognition Based on Fuzzy Dynamic Bayesian Network

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/).

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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  -