Dempster-Shafer evidence theory is widely used in the fields of decision-level information fusion.To suppress the counter-intuitive results encountered when using Dempsters rule of combination

a modified sequential weighted evidence combination approach based on variance of evidence is proposed.According to Jousselmes distance

variance of bodies of evidence is defined.In each combination step

the weights are generated based on the variances of the sequences of available evidence combination results before and after adding new arriving body of evidence.Then the weights generated are used to modify the bodies of evidence including the previous combination result and the new arriving body of evidence at current step.Finally

according the Dempsters rule of combination

the weighted average combination result can be obtained.Some numerical examples provided show the efficiency and rationality of the proposed approach.