Situation Assessment Model of Complex System and Its Implementation Method Based on Ontology
Zhang Xiao-dan, PO Box · Acta Simulata Systematica Sinica · 2005
In order to solve effectively the issue of online situation assessment to complex system, a kind of new intelligent assessment model of network on-line is proposed based on information fusion theories on network environment. The integrated project combined qualitative and quantitative assessment strategy with local and synthetic strategy. First of all, qualitative assessment is performed. In case system is abnormal, the integrated neural networks group will perform immediately quantitative analysis and classification to multi-sources character information from multi-sensors. At last, two level D-S evidence reasoning model will assess synthetically to outputs of ANNs and local D-S models in their fusion center respectively, and the precision and reliability of assessment conclusion are improved evidently. The model has been implemented based on ontology and had been tested and run in Fengman Hydroelectricity Digital Simulation System that we developed. The implementation shows that the proposed model is effective and has practical application value.