BPAF

Based on the measurement of ELINT system, the method to calculate the BPAF with the gray correlation analysis is proposed too.

针对ELINT系统量测数据的特点，提出了基于灰关联分析的BPAF获取方法。

A few concepts of D-S evidence theory and D-S evidence combination rule and decision methods are presented and the program of D-S evidence combination rule on Basic Probability Assignment Function ( BPAF) is described. The Combination of Evidences in an Incomplete Frame of Discernment

本文在简要介绍D-S证据组合理论框架基础上，阐述了基于D-S证据组合理论的信息融合一般步骤及决策层判决方法；不完备识别框架下的证据组合方法

Finally, the association results are obtained by maximizing the basic probability assignment function ( BPAF).

最后通过极大化基本可信度赋值函数（BPAF）得到关联结果。

Research of the target characteristics fusion in the decision layers based on objector BPAF

基于BPAF判决的决策层目标属性融合研究

Calculate the BPAF of each proposition.

利用模糊相似度来构造计算各命题的基本概率赋值函数；

Based on the target BPAF ( basic probability assignment function) in D-S evidence theory, the target characteristics fusion problems in the decision layers had been studied.

在D-S证据理论框架下，研究了基于目标基本概率赋值（BPAF）判决的决策层目标属性融合问题。

Basic probability assignment function ( BPAF) is constructed by Grey Association Analysis in each sensor, and evidences are combined by D-S Theory from multisensor sources in fusion center.

该方法在单个传感器中运用灰关联分析法通过计算灰关联度给出该传感器关于识别框架的基本概率赋值，再在融合中心用D-S证据理论对多个传感器的识别结果进行融合。