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A novel dynamic weight allocation method for multisource information fusion

机译：多源信息融合的一种新型动态权重分配方法

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摘要

In multisource information fusion, the weight assignment is critical to improve the fusion performance, especially under uncertainty and conflict situations. As for uncertainty, the probability distribution is a desirable method to model uncertainty. In this context, a novel dynamic weight allocation method is first proposed, which considers three situations: nonconflict, general conflict, and high conflict. In particular, according to the degree of conflict, different weight allocations are considered by means of generalized information quality and negation operation. After that, a novel dynamic weight allocation method is proposed that contains three subalgorithms: NonC algorithm, BNC algorithm, and BIC algorithm. In addition, a novel multisource information fusion method is presented based on the newly designed dynamic weight allocation method. Besides, some numerical examples illustrate its feasibility. Finally, an application in target recognition demonstrates the practicability of the proposed fusion method.
机译：在多源信息融合中，重量分配对于提高融合性能至关重要，尤其是在不确定性和冲突情况下。对于不确定性，概率分布是一种理想的模拟不确定性的方法。在这种情况下，首先提出了一种新的动态权重分配方法，其考虑了三种情况：非对照，一般冲突和高冲突。特别地，根据冲突程度，通过广义信息质量和否定操作考虑不同的权重分配。之后，提出了一种新的动态权重分配方法，其包含三个亚基格，NONC算法，BNC算法和BIC算法。此外，基于新设计的动态权重分配方法提出了一种新颖的多源信息融合方法。此外，一些数值示例说明了其可行性。最后，目标识别中的应用表明了所提出的融合方法的实用性。

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