DocumentCode
3075637
Title
Intelligent Decision-making Modeling Based on Object-Oriented Bayesian Network
Author
Liu, Hai-yan ; Shi, Zhi-fu ; Han, Rui ; Zhu, Yin-sheng
Author_Institution
Second Artillery Eng. Coll., Xi´´an, China
Volume
4
fYear
2010
fDate
4-6 June 2010
Firstpage
300
Lastpage
303
Abstract
The object-oriented bayesian networks (OOBN) is prone to simulate for complex system, the model can be reused and the reasoning algorithm fully consider the encapsulation and hierarchy. Toward to the complexity of decision-making, distribution of knowledge and the hierarchy of the decision-making process, the method of unmanned combat air vehicle teams (UCAV) air-to-ground attack decision-making based on OOBN has been put forward. The modeling process base on OOBN has been given out. The method can establish the OOBN structure of complex system through analysis the causality between decision-making object and decision-making factors. It can be used to modeling and simulation for complex system after the probability parameter was given out. The application was been explained by a simulation example in the end.
Keywords
belief networks; decision making; inference mechanisms; large-scale systems; object-oriented methods; remotely operated vehicles; complex system; intelligent decision making modeling; knowledge distribution; object oriented Bayesian network; probability parameter; reasoning algorithm; unmanned combat air vehicle team; Bayesian methods; Competitive intelligence; Computer networks; Decision making; Inference algorithms; Intelligent networks; Object oriented modeling; Probability; Uncertainty; Vehicles; Object-oriented Bayesian network; tactics decision-making; unmanned combat air vehicle;
fLanguage
English
Publisher
ieee
Conference_Titel
Information and Computing (ICIC), 2010 Third International Conference on
Conference_Location
Wuxi, Jiang Su
Print_ISBN
978-1-4244-7081-5
Electronic_ISBN
978-1-4244-7082-2
Type
conf
DOI
10.1109/ICIC.2010.347
Filename
5514079
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