A New Improved D-S Algorithm Based on Weight of Evidence
Jianchao Zeng · Computer Technology and Development · 2013
Dempster-Shafer evidence theory is an effective method for dealing with uncertainty problems,but the results obtained are counterintuitive when the evidences highly conflict with each other.According to the importance of the evidences,a new improved D-S algorithm based on the weight of evidence is presented to solve this problem.Firstly,a distance function between the bodies of evidences is introduced,the average Euclidean distance between evidence and evidence subset is obtained after establishing the evidence distance matrix,and then modify the evidence through the belief function to get weight coefficients which describe the importance degree of evidence,finally these modified evidences are combined together according to the D-S rule.Through the numerical study and compared with the other improved methods verify the validity and superiority of the new method.