数据融合系统中一种改进的证据推理规则

Shujin Pu, Lei Yang, Shen-yuan Yang, Weiwei Hu
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引用次数: 0

摘要

针对Dempster-Shafer证据理论在处理冲突证据时存在的不足,许多学者提出了基于冲突基本概率重新分配的修正规则。提出了一种新的组合规则,以弥补现有规则的不足。该规则根据证据来源的可靠性和证据的支持措施的冲突程度来分析证据设置的有效性,实现信息的合理融合。实验表明,新的组合规则克服了约束规则的局限性,输出在合理性方面具有约束性,有效地增强了系统的鲁棒性
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A modified evidential reasoning rule in data fusion system
According to the insufficiencies existing in Dempster-Shafer theory of evidence when it deals with the conflicting evidences, many scholars have presented modified rules based on reallocation of the basic probability assigned to conflict. A new combination rule is presented to mend the disadvantages of the rules. This rule analyzes the validity of evidence set according as the extent of conflict with the use of the reliability of evidential sources and support measure of the evidence, and realizes information fusion rationally. Experiments shows that the new combination rule overcomes the limitations, and the outputs are constringent on the aspect of rationality, which enhances robustness of systems effectively
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