对证据冲突原因的新认识

LiFang Hu, Jia-qi Liu, Xin Guan, Wei-jia Liu, Ting-ting Zhou
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引用次数: 0

摘要

Dempster-Shafer证据理论被广泛应用于信息融合的许多领域。然而,当收集到的证据彼此高度冲突时,经典Dempster组合规则(DRC)可能会得到反直觉的结果。然而,Haenni基于Zadeh对DRC的批评给出了反驳,他得出的证据之间冲突的原因并不全面。因此,本文对证据之间产生冲突的原因进行了分析和总结,即传感器的可靠性、识别框架的不完整(也称为GBBA模型定义的不精确),而以上两个原因的综合结果是产生冲突的物质原因。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Shedding New Light on Reason for Conflict between Evidences
The Dempster-Shafer evidence theory (DST) is widely used in many fields of information fusion. However, counter-intuitive results may be obtained by the classical Dempster combination rule (DRC) when collected evidences conflict highly with each other. However, Haenni gave confutation based on Zadeh's criticism of DRC, reasons for conflict between evidences concluded by him were not comprehensive. So, reasons for conflict between evidences are analyzed and summarized in this paper, that is, sensor reliability, incompleteness of the frame of discernment which is also called imprecise definition of GBBA model, and integration results of the above two reasons are the material reasons for conflict.
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