A generic framework for resolving the conflict in the combination of belief structures
A generic framework for resolving the conflict in the combination of belief structures
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DOI：
10.1109/ific.2000.862650
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发表时间：
2000-07
期刊：
影响因子：
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通讯作者：
E. Lefevre;Olivier Colot;P. Vannoorenberghe;D. Brucq
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文献类型：
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作者：
E. Lefevre;Olivier Colot;P. Vannoorenberghe;D. Brucq
在Dempster-Shafer证据理论的框架下，数据融合是基于由不同信息源产生的多个质量函数组合而成的单一信念质量。这种组合被称为邓普斯特组合规则(或正交和)，具有几个有趣的数学性质，如交换性或结合性。遗憾的是，在规范化阶段，它很难处理好各种信息源之间存在的冲突。在本文中，我们介绍了在证据理论框架内使用的传统组合算子。我们提出了其他组合算子，允许对命题上的冲突质量进行任意重分布。这些不同的组合运算符在合成质量和真实质量的集合上进行了测试。
Within the framework of Dempster-Shafer theory of evidence, the data fusion is based on the building of single belief mass by combination of several mass functions resulting from distinct information sources. This combination called Dempster's combination rule (or orthogonal sum) has several interesting mathematical properties like commutativity or associativity. Unfortunately, it badly manages the existing conflict between the various information sources at the step of normalization. In this paper, we introduce traditional combination operators used within the framework of evidence theory. We propose other combination operators allowing an arbitrary redistribution of the conflicting mass on the propositions. These various combinations operators were tested on sets of synthetic and real masses.