DocumentCode
2252312
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
fYear
2011
fDate
17-19 Sept. 2011
Firstpage
295
Lastpage
298
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics, Automation and Mechatronics (RAM), 2011 IEEE Conference on
Conference_Location
Qingdao
ISSN
2158-2181
Print_ISBN
978-1-61284-252-3
Type
conf
DOI
10.1109/RAMECH.2011.6070499
Filename
6070499
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