基于信息守恒的基本概率赋值概率转换方法

A Transformation of Basic Probability Assignment to Probability Based on Conservation of Information

针对现有基本概率赋值概率转换方法普遍存在缺少客观标准,主观介入程度过强的问题,该文提出了一种线性加权概率转换方法。该方法首先选择归一化先验信息作为权重,消除了概率转换时主观因素的影响,然后根据概率转换前后先验信息守恒的原理构造方程,最后给出了转换概率的迭代求解方法。实验算例表明,该文方法求解速度快,转换概率合理有效,且与对事件的认知程度相一致。

The existing transform methods of basic probability assignment to probability are widespread lack of objective criteria and with much subjectivity. A linear weighted probability conversion method is presented. First, the normalized priori information is selected as weight to eliminate the subjective factors in transformation; Then, an equation is constructed based on the principle of information conservation before and after the transformation; Finally, an iterative solution method is given for transformational probability. The experimental examples show that the solving speeds are fast, the transformational probabilities are reasonable, effective, and consistent with the awareness level of the event.