New evidence fusion method based on average deviation
Cao Ji · Jisuanji yingyong yanjiu · 2014
Dempster-Shafer( D-S) method has been used widely in all kinds of data fusion system,but it has difficulty in dealing with combining evidences with high degree of conflict. In order to solve the problem,this paper proposed a new evidence fusion method based on the degree of average deviation strategy. Firstly,it obtained the mutual support degree of every evidence by evidence distance,and normalized the support degree to the credibility degree of evidence. It obtained a referenced evidence by averaging all evidences according to support degree,and then used the referenced evidence for deviation verification and modification of the original evidences. Lastly,it adopted the Dempster's rule of combination to combine evidences after disposing. The results of numerical examples show that this new method improves the reliability and rationality of the evidence combination results. Besides,this method can effectively deal with conflict evidence.