CAJ | 학술논문

为了有效融合高度冲突的证据，以Murphy方法和邓勇加权平均法为基础，提出了一种新的基于加权证据距离的证据组合方法。用Murphy方法确定各证据体的权重，采用修正的City Block距离加权平均求证据间的两两距离，进而获取各证据被其他所有证据支持的程度，归一化各证据的总支持度作为该证据的权重，对多源证据加权平均后再利用Dempster组合规则实现信息融合。实验结果表明，该方法能够更加有效快速地识别出目标，拥有更快的收敛速度。
위료유효융합고도충돌적증거，이Murphy방법화산용가권평균법위기출，제출료일충신적기우가권증거거리적증거조합방법。용Murphy방법학정각증거체적권중，채용수정적City Block거리가권평균구증거간적량량거리，진이획취각증거피기타소유증거지지적정도，귀일화각증거적총지지도작위해증거적권중，대다원증거가권평균후재이용Dempster조합규칙실현신식융합。실험결과표명，해방법능구경가유효쾌속지식별출목표，옹유경쾌적수렴속도。
In order to efficiently combine highly conflict evidence, this paper proposes a new combination method based on the weighted distance of evidence by using Murphy’s method and Deng’s weighted averaging method. The weight of each body of evidence is determined by using Murphy’s method. The weighted distance between every two evidences is calculated under the modified City Block distance norm, so the support degree of each evidence supported by other evi-dences can be obtained. After normalizing the general support degree of each evidence as the weight of each evidence, the information fusion process under the Dempster combination rule can be realized. Simulation results show that the new method converges at a faster rate and can recognise the target more effectively and fleetly.