NDLI: Battle damage level prediction on Fuzzy theory and Bayesian method

Content Provider	IEEE Xplore Digital Library
Author	Chen Xia Li Lin Liu Dong
Copyright Year	2011
Description	Author affiliation: School of Automation, China (Chen Xia; Li Lin; Liu Dong)
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.
Starting Page	295
Ending Page	298
File Size	157821
Page Count	4
File Format	PDF
ISBN	9781612842523
ISSN	21582181
e-ISBN	9781612842516
DOI	10.1109/RAMECH.2011.6070499
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Random access memory Mechatronics Automation Robots Conferences Decision support systems damage reflect factor Fuzzy Bayesian BDA
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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