一种解决D-S理论证据冲突的有效方法

D-S证据理论是一种有用的不确定性推理方法,由于证据合成公式存在不足,影响了证据理论的应用。针对有效融合高度冲突的证据,提出了一种新的有效加权冲突证据组合方法。该方法通过引入一个证据体距离函数,利用证据之间的相对距离确定了证据的权重,对系统中的证据加权平均后再利用Dempster组合规则实现信息融合。与其他方法比较,该方法在系统存在伪证据(干扰)时仍然能够有效快速地识别出目标,实例表明了该方法的有效性。

Efficient combination approach to conflict evidence for D-S theory

D-S evidence theory is a useful method for dealing with uncertainty problems,but its application is limited by the shortcomings of combination rules.In order to combine highly conflictive evidence efficiently,a new method based on the distance of the bodies of evidence is proposed.Firstly,a distance function between the bodies of evidence is introduced.Then,the support degree and the credibility of each evidence are obtained.After weighted averaging the evidence in the system,the Dempster combination rule is used to realize information fusion.Compared with the existing methods,the proposed approach is more efficient in combining conflict evidence.Simulation examples show that the validity and rationality of this algorithm.