摘要
针对经典D-S证据理论在处理大规模冲突证据组合时的悖论问题及计算量指数增长问题,提出了一种利用经典冲突系数与证据距离共同度量冲突大小的快速加权融合方法。该方法通过分析单一冲突表示方法的不足,提出了复合冲突系数,同时,给出了证据中心及当前中心距离的定义,并用当前中心距离与冲突系数一起确定证据权重。算例实验结果表明本算法有效地解决了经典证据理论中的悖论问题并显著地提高了融合速度。
Aiming at the paradox of D-S evidence theory and computation＇s exponential growth in dealing with large –scale conflict evidence combination,a new weighted evidence combination method is proposed,which uses conflict coefficient and evidence distance in order to measure the conflict.Through the analysis of single conflict representation＇s weaknesses,compound conflict coefficient has been put forward,meanwhile,the evidence centre and current centre distance are defined,evidence weight is determined with current centre distance and conflict coefficient. The experiment results show that the algorithm settles the paradox effectively,at the same time,computing speed has been greatly enhanced.
出处
《火力与指挥控制》
CSCD
北大核心
2015年第12期22-26,共5页
Fire Control & Command Control
基金
国家自然科学基金资助项目(61102109)
关键词
证据理论
冲突系数
证据中心
中心距离
D-S evidence
conflict coefficient
evidence centre
centre distance
