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Evidence conflict measure based on OWA operator in open world

机译：开放世界中基于OWA算子的证据冲突测度

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摘要

Dempster-Shafer evidence theory has been extensively used in many information fusion systems since it was proposed by Dempster and extended by Shafer. Many scholars have been conducted on conflict management of Dempster-Shafer evidence theory in past decades. However, how to determine a potent parameter to measure evidence conflict, when the given environment is in an open world, namely the frame of discernment is incomplete, is still an open issue. In this paper, a new method which combines generalized conflict coefficient, generalized evidence distance, and generalized interval correlation coefficient based on ordered weighted averaging (OWA) operator, to measure the conflict of evidence is presented. Through ordered weighted average of these three parameters, the combinatorial coefficient can still measure the conflict effectively when one or two parameters are not valid. Several numerical examples demonstrate the effectiveness of the proposed method.
机译：自Dempster提出并由Shafer扩展以来，Dempster-Shafer证据理论已在许多信息融合系统中广泛使用。在过去的几十年中，已经有许多学者研究了Dempster-Shafer证据理论的冲突管理。但是，当给定环境处于开放环境中时，如何确定有效的参数来衡量证据冲突，即识别框架不完整，仍然是一个悬而未决的问题。本文提出了一种基于有序加权平均（OWA）算子的广义冲突系数，广义证据距离和广义区间相关系数相结合的新方法来衡量证据冲突。通过这三个参数的有序加权平均值，当一个或两个参数无效时，组合系数仍可以有效地测量冲突。几个数值例子证明了该方法的有效性。

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