DocumentCode
3449802
Title
Situation Assessment Based on Bayesian Networks
Author
Li Man ; Feng Xinxi
Author_Institution
Telecommun. Eng. Inst., AFEU, Xian
fYear
2008
fDate
12-14 Oct. 2008
Firstpage
1
Lastpage
3
Abstract
As a knowledge representation framework and a kind of probability inference engine, Bayesian networks are widely used in reasoning and decision-making. The situation assessment knowledge representation using the Bayesian networks, the steps to construct a Bayesian networks for situation assessment were presented, and the layers of events in the situation assessment system were analyzed. Finally, the process of how to use the Bayesian networks for situation assessment was showed by an example.
Keywords
belief networks; case-based reasoning; decision making; probability; Bayesian network; decision-making; probability inference engine; situation assessment knowledge representation framework; Artificial neural networks; Bayesian methods; Calculus; Decision making; Engines; Equations; Knowledge engineering; Knowledge representation; Probability; Sensitivity analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location
Dalian
Print_ISBN
978-1-4244-2107-7
Electronic_ISBN
978-1-4244-2108-4
Type
conf
DOI
10.1109/WiCom.2008.1366
Filename
4679274
Link To Document