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An association coefficient of a belief function and its application in a target recognition system

机译:信念函数的关联系数及其在目标识别系统中的应用

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摘要

The conflict problem in D-S evidence theory has attracted the attention of many scholars. Conflict coefficients are proposed to describe conflicts between bodies of evidence. The association coefficient as the opposite of the conflict coefficient is also used to measure the conflict. The larger the association coefficient, the smaller the conflict degree, and the higher the similarity between the evidence bodies, and vice versa. In this paper, the degree of association is defined by Deng Entropy, and a new association coefficient is proposed based on the basic inequality. The nature of the new association coefficient and conflict coefficients is explored using examples. Finally, the association coefficient combined with the D-S combination rule is applied to the target recognition system, and accurate results are obtained.
机译:D-S证据理论中的冲突问题引起了许多学者的关注。提出了冲突系数来描述证据之间的冲突。与冲突系数相反的关联系数也用于测量冲突。关联系数越大,冲突程度越小,证据主体之间的相似度越高,反之亦然。本文用邓氏熵定义了关联度,并根据基本不等式提出了一种新的关联系数。使用示例探讨了新的关联系数和冲突系数的性质。最后,结合D-S组合规则的关联系数应用于目标识别系统,获得准确的结果。

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