Combining belief functions based on distance of evidence

By Yong Deng, Wenkang Shi, Zhenfu Zhu, Qi Liu. Decision Support Systems, 2004

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Multi-sensor data fusion based on the belief divergence measure of evidences and the belief entropy (2019, methodology): “…works focusing on the second type include Murphy ’ s simple average approach of the bodies of evidences [79], Deng et al. ’ s weighted average of the masses based on the evidence distance [80], Zhang et al. ’ s cosine theorem-based method [81], and Yuan et al. ’ s entropy-based method [82].”
An Integrated Decision-Making Model for Transformer Condition Assessment Using Game Theory and Modified Evidence Combination Extended by D Numbers (2016, methodology): “Recently, two methods, D numbers and weighted average combination, are proposed by Deng et al. [24,41] to address the mentioned problems effectively.”