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A New Method to Handle Conflict when Combining Evidences Using Entropy Function and Evidence Angle with an Effective Application in Fault Diagnosis

机译:在使用熵函数和证据角度结合证据时处理冲突的新方法和有效应用在故障诊断中

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Addressing the problem of fusing highly conflicting evidences in Dempster–Shafer theory is one of the most necessary, important, and difficult research directions all the time, and so far we have published two papers related to it. In this paper, another novel method to handle conflict when combining evidences is proposed, where evidence distance, evidence angle, and improved entropy function, three key tools, are used for constructing the final weight of each body of evidence. This newly proposed approach mainly consists of three steps: firstly, both evidence distance and evidence angle determine the initial weight together; secondly, making use of the improved entropy modifies the initial weight to get the final weight; lastly, the classical D-S combination rule will be applied to obtain final fusion results. Still a classical numeric example and a real fault diagnosis application both demonstrate its effectiveness and efficiency, and compared with other current popular methods including two of our previous works, this new approach can converge fast and reduce most uncertainty of decision-making when fusing highly conflicting evidences.
机译:解决Dempster-Shafer理论中非常冲突的证据的问题是最必要,重要和困难的研究方向之一,到目前为止我们已发表与它相关的两篇论文。在本文中,提出了另一种处理相结合证据时冲突的新方法,其中,其中有证据距离,证据角度和改进的熵函数,三个关键工具用于构建每个证据的最终重量。这种新提出的方法主要由三个步骤组成:首先,既有证据距离和证据角度都会在一起确定初始重量;其次,利用改进的熵改变初始重量以获得最终的重量;最后,将应用古典D-S组合规则来获得最终的融合结果。仍然是一个经典的数字示例和真正的故障诊断应用,两者都证明了其有效性和效率,并与其他目前流行的方法相比,包括我们以前的两个作品,这种新方法可以快速收敛并减少融合高度冲突时决策的最不确定性证据。

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