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Application of Amendatory Mathematical model of D-S evidence theory to data fusion

机译:D-S证据理论算法数学模型在数据融合中的应用

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Zadeh Absurdity will appear in applying D-S evidence theory to fuse highly conflicting evidence. To solve the problem, a novel information fusion model is presented. Firstly, through calculating evidence information capacity, the model pretreats evidence of containing overlapping focal element; Secondly, the model utilizes evidence distance function to gain every evidence creditable degree which is used as weighting factor to assign conflicts, and realizes the effective modification of D-S evidence theory. The numerical fusion experiments show that the novel model not only has the advantage of the two kinds of methods improving D-S evidence theory in history, but also resolves the puzzle of how to manage conflicts efficiently among different evidence sources and how to combine belief functions of containing overlapping focal element, and reaches more rational fusion result.
机译:Zadeh荒谬将出现在应用D-S证据理论,以保险融合高度冲突的证据。为了解决问题,提出了一种新颖的信息融合模型。首先,通过计算证据信息能力,模型预处理含有重叠焦点元素的证据;其次,该模型利用有证据距离功能来获得用作分配冲突的加权因子的每一种证据程度,并实现D-S证据理论的有效修改。数值融合实验表明,新颖的模型不仅具有改进历史上DS证据理论的两种方法的优势,而且解决了如何在不同的证据来源中有效地管理冲突以及如何结合含有的信念函数的难题重叠的焦点元件,达到更合理的融合结果。

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