1. 西南大学计算机与信息科学学院,重庆,400715
2. 上海交通大学电子信息与电气工程学院,上海,200240
网络首发:2010-12-10,
纸质出版:2010
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邓勇 1, 4, 蒋雯 2, 等. 广义证据理论的基本框架[J]. 西安交通大学学报, 2010,44(12):119-124.
Basic Frame of Generalized Evidence Theory[J]. 2010, 44(12): 119-124.
针对经典证据理论不能有效处理辨识框架不完整情况下的信息融合问题
提出了一种广义证据理论.新理论定义了广义基本概率指派函数
对空集的广义基本概率指派大小表明了支持辨识框架不完整命题的程度
提出了能够融合广义基本概率指派的广义组合规则
该组合规则是一个与空集基本概率指派相关的函数
同时满足交换律和结合律.广义证据理论是经典证据理论的推广
当空集赋值为零时
广义证据理论退化为经典的证据理论.用算例表明了所提出的广义证据理论的有效性.
The basic assumption of classical Dempster-Shafer theory of evidence is that the frame of discernment is complete. However
the frame of discernment is often incomplete in real data fusion application systems. A generalized evidence theory(GET)is proposed to solve this problem in this paper. The generalized basic probability assignment(GBPA)is defined. The value assigned to the empty set shows the support degree to incomplete frame of discernment. A new combination rule
called generalized combination rule(GCR)
is proposed to handle evidence combination. It is shown that the proposed combination rule satisfies both commutative law and associative law. Another desirable property of the proposed GET is that it will be reduced as the classical evidence theory when the GBPA to empty set is zero. Some numerical examples are used to show the efficiency of the proposed GET.
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