D-S证据理论应用中的一种验证方法

D-S证据理论是一种比概率论确定性弱的不确定性理论,它能将"不知道"和"不确定"两个认知学上的主要概念区别开来,在多传感器数据融合中具有广泛的应用前景.D-S证据理论在实际应用中却存在一个困难,当目标的个数较多时,需要计算的项数太多,容易造成漏项,引起计算错误.提出了一种确定计算项数的算法,作为验证计算结果的必要条件,并通过图解的方法找出需要计算的项.

A Verification Method in D-S Proof Theory Application

D-S proof theory is an indeterminacy theory whose certainty is weaker than probability theory,and it differentiates "uncertainty" from "unknown" which are main conceptions in cognitive science.It has wide application prospects in the field of data fusion.But there is some difficulty of the applications in D-S proof theory,that if the number of targets is big and items computed is too many,the error result appears for some missing items.The article gives an algorithm to determinate the numbers of items to compute,which is a necessary condition.And it also gives a corresponding diagram method.