Title :
Situation Assessment Based on Bayesian Networks
Author :
Li Man ; Feng Xinxi
Author_Institution :
Telecommun. Eng. Inst., AFEU, Xian
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;
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
DOI :
10.1109/WiCom.2008.1366
