Dempster-Shafer evidence theory is an important tool in the fields of information fusion. However Dempster’s rule of combination cannot efficiently handle highly conflicting evidence combination for it can arouse counter-intuitive behaviors. To deal with such a problem, a novel weighted average evidence combination approach is proposed. Not only the distance of evidence but also the uncertainty measure is utilized to determine the weights of the bodies of evidence. Based on the weighted averaged BOE and Dempster’s rule of combination, the rational combination results can be obtained. The experimental results show that the method proposed can effectively handle conflicting evidence combination with better convergence.