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一种基于条件信度参数证据网络的态势感知方法 被引量：2

A Method for Situation Awareness based on Evidential Networks with Conditional Blief Parameters
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摘要 针对战场协同作战中的多平台多传感器探测的信息如何有效形成统一的战场态势感知的问题,本文提出一种基于条件信度参数的证据网络态势感知方法,该方法利用条件信度参数和证据理论,以图结构的方式组织先验知识,相比已有方法,可以有效地进行多源态势信息的融合,减少存储代价和计算复杂度。最后通过实例分析,验证了本文方法的优越性。 Aiming to solving the priblem that coherent battlefield situation awareness can＇ t be received from the heterogeneous sources infromation from multi-platforms, a Method for Situation Awareness based on Evidential Networks with Conditional Blief Parameters is proposed. The method organises the apriori knowledge in graph model and uses conditional belief parameters and DS theory. Compared to the existed situation awareness method, the proposed method has fewer storge cost and compution complexity in a condition of the same result. Finally, the advantage of the proposed method is testified by the examples.
作者 郭强 关欣 周勋 张杨 孙贵东
机构地区 海军航空工程学院信息融合研究所 海军航空工程学院电子信息工程系 海军装备部 海军航空工程学院训练部
出处 《中国电子科学研究院学报》 2014年第5期505-511,共7页 Journal of China Academy of Electronics and Information Technology
基金 国家自然科学基金重点项目(61032001) 国家自然科学基金资助项目(61102166 61471379) 教育部新世纪优秀人才支持计划(NCET-11-0872)
关键词 证据网络 信息融合 证据推理 态势感知 条件信度 Evidential Networks Information Fusion Evidential Inference Situation Awareness
分类号 TP212.9 [自动化与计算机技术—检测技术与自动化装置]
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参考文献9

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二级参考文献9

共引文献4

同被引文献29

  • 1王慧强,赖积保,朱亮,梁颖.网络态势感知系统研究综述[J].计算机科学,2006,33(10):5-10. 被引量：122
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  • 4Philippe Smets. Belief functions: The disjunctive rule of combination and the generalized bayesian theorem[J]. Int J of Approximate Reasoning, 1993, 9(1): 1-35.
  • 5Boutheina Ben Yaghlane, Khaled Mellouli. Inference in directed evidential networks based on the tranferable belief mode[J]. Int J of Approximate Reasoning, 2008, 48(2): 399-418.
  • 6Wafa Laamari, Boutheina Ben Yaghlane, Christophe Simon. On the complexity of the graphical representation and the belief inference in the dynamic directed evidential networks with conditional belief functions[C]. Scalable Uncertainty Management. Heidelberg: Springer, 2012: 206-218.
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  • 8Wafa Laamari, Boutheina Ben Yaghlane, ChristopheSimon. On the use of a mixed binary join tree for exact inference in dynamic directed evidential networks with conditional belief fuctions[C]. The 6th Int Conf on Knowledge Science, Engineering and Management. Dalian, 2013: 310-324.
  • 9Felipe Aguirre, Mohamed Sallak, Frederic Vanderhaegen, et al. An evidential network approach to support uncertain multiviewpoint abductive reasoning[J]. Information Sciences, 2013, 253(20): 110-125.
  • 10Smets Ph. Belief fuctions: The disjuctive rule of combination and the generalized Bayesian theorem[J]. Int J of Approximate Reasoning, 1993, 9(1): 1-35.

引证文献2

二级引证文献14

中国电子科学研究院学报
2014年 第5期

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