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D-S改进算法在数据融合中的应用 被引量:9

The Application of D-S Improving Algorithm in Data Fusion
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摘要 作为一种重要的处理不确定性问题的方法,D-S证据推理理论目前已经广泛应用于各种数据融合系统中。详细阐述了D-S证据理论的相关理论和证据组合原理;针对D-S证据理论存在的缺陷和不足,介绍了一种改进的证据组合方法;通过实例证明,该改进方法能够用于组合冲突比较大的多个证据,并提高融合的性能和可靠性。 As one of the most important data fusion methods used for dealing with uncertainty problems,the D-S evidence reasoning has been applied to lots of data fusion systems.In this paper, the evidence combination principles of D-S evidence theory are repre-sented in detail firstly. In view of the deficiency of D-S method, one of improved evidence combination method is introduced. A giv-en practical example demonstrates that the improved method can be applied to dominating multi evidences with great confliction, and the performance and reliability of fusion can also be improved.
出处 《微计算机信息》 北大核心 2007年第3期194-195,193,共3页 Control & Automation
基金 山西省自然科学基金(2006011037)
关键词 D-S证据1理论 数据融合 证据组合 D-S Evidence Theory,Data Fusion,Evidence Combination
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