General evidence reasoning fusion structure
Min Wang · Caai Transactions on Intelligent Systems · 2010
In order to solve the problem of the Dempster-Shafer theory(DST) and Dezert-Smarandache theory(DSmT) both being unable to deal with uncertain information,the uncertainty mass in the frame was defined and two kinds of adaptive universal proportional redistribution rules(AUPR) were proposed.Next,a general evidence reasoning fusion structure was proposed based on the general evidence with which the reasoning machine was built.Lastly,the pioneer 2-DXe mobile robot was used to build the belief distribution maps of various environments.The experimental results verify the validity and the practicality of the proposed methods.They also supply powerful theoretical evidence for constructing a uniform information fusion frame.