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New Method for Multiple Cues Fusion Combined DST with DSmT

机译:DST与DSmT结合的多线索融合新方法

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摘要

DST (Dempster-Shafer theory) involves some counter-intuitive behaviors when multiple evidences conflict highly. DSmT (Dezert-smarandache theory) can solve this problem. Under increment of focal target elements, high computation cost has blocked the wide application of DSmT. To solve this problem, some modified combination rules have been proposed in literature. In this study, an adaptive integration method based on DST and DSmT was presented. To make a reasonable choice, a parameter measuring conflict degree called evidence distance is defined to determine. Threshold value is evaluated by product of conflicting factor and evidence distance. When conflict is smaller than the threshold value, DST is used to fuse. While conflict is larger, DSmT is used to fuse until the conflicting rate value is smaller than the threshold value. To illustrate effectiveness and good performance of new method, some methods are compared. Reliable result with low cost computation can be obtained by new method. Results indicate that this method can highlight the effectiveness of fusion. It synthesizes merits of DST and DSmT. New method is more reasonable than others.
机译:当多个证据高度冲突时,DST(Dempster-Shafer理论)涉及一些违反直觉的行为。 DSmT(Dezert-smarandache理论)可以解决这个问题。在焦点目标元素增加的情况下,高昂的计算成本阻碍了DSmT的广泛应用。为了解决这个问题,文献中提出了一些修改的组合规则。在这项研究中,提出了一种基于DST和DSmT的自适应集成方法。为了做出合理的选择,定义了一个衡量冲突程度的参数,称为证据距离。阈值由冲突因素和证据距离的乘积评估。当冲突小于阈值时,将使用DST进行融合。当冲突较大时,将使用DSmT进行融合,直到冲突率值小于阈值为止。为了说明新方法的有效性和良好的性能,比较了一些方法。通过新的方法可以获得低成本的可靠结果。结果表明,该方法可以突出融合的有效性。它综合了DST和DSmT的优点。新方法比其他方法更合理。

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