Title :
Battle damage level prediction on Fuzzy theory and Bayesian method
Author :
Xia, Chen ; Lin, Li ; Dong, Liu
Author_Institution :
Shenyang Aerosp. Univ., Shenyang, China
Abstract :
In the actual war, battle damage assessment and prediction problem is an important research topic. Grasping the enemy´s information is one of the basis on our forces´ war resource allocation. The main problem of this paper is battle damage level prediction, and the model of target damage level prediction based on Fuzzy theory and Bayesian method is established. First, Fuzzy theory and Bayesian method is described. Then, the conception of damage reflect factor is presented and Fuzzy theory and Bayesian method are adopted in the model. Finally, example calculations are given to demonstrating the effectiveness and accuracy of this method. The method of target damage level prediction based on Fuzzy theory and Bayesian method is given according to the comprehensive analysis of the target information.
Keywords :
Bayes methods; fuzzy set theory; military systems; Bayesian method; battle damage assessment; battle damage level prediction; fuzzy theory; war resource allocation; Automation; Conferences; Decision support systems; Mechatronics; Random access memory; Robots; BDA; Bayesian; Fuzzy; damage reflect factor;
Conference_Titel :
Robotics, Automation and Mechatronics (RAM), 2011 IEEE Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-61284-252-3
DOI :
10.1109/RAMECH.2011.6070499