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
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;
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
DOI :
10.1109/ICIC.2010.347