Distributed Fusion Model of Subjective Evidence Fusing Objective Evidence and Its Application
Ningde Jin · Journal of Tianjin University Science and Technology · 2006
In order to improve effectively the accuracy rate and reliability of remaining oil distribution forecast in oil field,a new model is proposed,which utilizes the merits of BP neural network combination model and two-level D-S evidence reasoning model and avoids their demerits.The exact classification with many characte- ristics is implemented about remaining oil distribution.An effective method is proposed,namely,the classifica- tion output reliability of each BP neural network and the reasoning result reliability of each domain expert system are regarded as basic probability assignment of input evidence in D-S evidence reasoning model.Practical appli- cation and result analysis on system show that the proposed model is effective and can be applied widely.The re- suits provided examples,approaches and useful experiences to the research of multiple sources information fu- sion system in different types.