Title :
Overview of Research on Assessment Model of Radiant Threat Rank Based on Dynamic Bayesian Network
Author :
Tang, Zheng ; Gao, Xiao-guang ; Zhang, Ying
Author_Institution :
Northwestern Polytech. Univ., Xi´´an
Abstract :
Evaluating radiant threat rank is an important part of situation assessment and attack decision. All factors which would affect the assessment are analyzed. The advantages of experts system based on dynamic Bayesian network are given. After that, the theoretical model and its algorithm based on dynamic Bayesian network are presented and discussed. Finally, the model is established and simulated according to the algorithm. The simulation results are discussed and the model shows that it is effective and it can reflect the real threat rank.
Keywords :
belief networks; decision making; expert systems; military computing; probability; battlefield situation assessment model; decision making process; dynamic Bayesian network; expert system; probability method; radiant threat rank evaluation; Automation; Bayesian methods; Dynamic scheduling; Expert systems; Heuristic algorithms; Inference algorithms; Logistics; Mechatronics; Network topology; Probability distribution; assessment model; dynamic Bayesian network; radiant point; threat rank;
Conference_Titel :
Automation and Logistics, 2007 IEEE International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-1531-1
DOI :
10.1109/ICAL.2007.4338726