Research on Combination of Conflicting Evidences of Multi-Agent Decision in Virtual Environment

The combination of conflicting evidences of multi-Agent decision was studied based on knowledge fusion in virtual environment.The error,unanti-result was caused by normalized constant in the Dempster-Shafer theory.The combination of evidence in Dempster-Shafer theory was transformed formally that the formula was disassembled into two terms and the normalized constant was also disassembled.The second term contains an unknown.So a new improved combination rule with equivalent method was proposed and the concept of the errors of the fusion was also proposed.Then the errors of function and average of conflicting evidences were formulated,and they are correlative with the unknown term.The new approach is consistent with transformed Dempster-Shafer's rule in the form.Only the errors were assigned to the unknown term in the new approach.The experimental results and theoretical analysis show that the new methodology can produce reasonable results and its error of the fusion is minimum.Finally,an example of multi-Agent simulation decision of labeler was illustrated that the new approach is effective and reliable.