基于排他度的D数距离函数

Meizhu Li
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引用次数: 0

摘要

Dempster-Shafer理论的数学框架是基于一些关于识别框架和基本概率分配的强假设,这限制了它表示某些类型信息的能力。为了克服这些缺点,提出了一种新的理论,称为D数理论。本文提出了一种新的基于排他度的D数距离函数来度量两个D数之间的距离。该函数是两个双酚a之间距离的泛化,继承了Dempster-Shafer理论的优点,增强了不确定性建模的能力。当每对D数之间的排他度等于1时,所提函数可退化为Anne-Laure Jousselme定义的距离函数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distance Function of D Numbers Based on Exclusive Degree
The mathematical framework of Dempster-Shafer theory is based on some strong hypotheses regarding the frame of discernment and basic probability assignment, which limit the ability of it to represent some types of information. To overcome the shortcomings, a novel theory called D numbers theory is proposed. In this paper, a new distance function of D numbers based on exclusive degree is proposed to measure the distance between two D numbers. The proposed function is an generalization of distance between two BPAs, which inherits the advantage of Dempster-Shafer theory and strengthens the capability of uncertainty modeling. When the exclusive degree between each pair of D numbers equals to 1, the proposed function can be degenerated as the distance function defined by Anne-Laure Jousselme.
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