中文摘要：

Dempster-Shafer证据理论是信息融合领域中的一种重要的理论与方法.然而在实际应用中,Dempster证据组合规则无法有效处理高冲突证据组合问题,往往引发反直观结果.针对这一问题,提出一种新的加权证据组合方法.该方法同时利用证据距离和证据不确定度来生成权重进而修正待征组合证据,并取得合理的组合结果.实验结果表明所提方法具有更快的收敛速度,能有效应对高冲突证据组合问题.

英文摘要：

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.