Application of Dynamic Bayesian Network to Situation Assessment
Zhiyu Fan · 2010
Considering the complexity and diversity of situation alteration in the battlefield,especially the uncertainty and fuzziness of battlefield information,it was proposed that a functional model of situation assessment could be set up by using the dynamic Bayesian network and in terms of the potential relation between situation events and situation hypothesis,to implement situation assessment.And by taking the examples the proposed methods were tested and verified.The simulation results show that the situation assessment model based on dynamic Bayesian network can integrate various characteristic factors to make those characteristic factors in various time periods be modified mutually,accurately tracking the variation of battlefield situation.And the resultant situation assessment can provide a support for commanders analyzing the c1urrent situation and making decision correctly.