globalchange  > 影响、适应和脆弱性
DOI: 10.7249/RR1200
报告号: RR-1200-NAVY
报告题名:
Uncertainty-Sensitive Heterogeneous Information Fusion: Assessing Threat with Soft, Uncertain, and Conflicting Evidence
作者: Paul K. Davis; Walter L. Perry; John S. Hollywood; David Manheim
出版者: RAND Corporation
出版年: 2016
发表日期: 2016
总页数: 168
国家: 美国
语种: 英语
英文关键词: Intelligence Community ; Terrorism Threat Assessment ; Counterterrorism ; Mathematics ; Robust Decision Making
英文摘要: An element of thwarting terrorist attacks is observing suspicious individuals over time with such diverse means as scanners and other devices, travel records, behavioral observations, and intelligence sources. Such observations provide data that are often both complex and "soft" — i.e., qualitative, subjective, fuzzy, or ambiguous — and also contradictory or even deceptive. Analysts face the challenge of heterogeneous information fusion — that is, combining such data to form a realistic assessment of threat. This report presents research on various heterogeneous information fusion methods and describes a research prototype system for fusing uncertainty-sensitive heterogeneous information. The context is counterterrorism, for both military and civilian applications, but the ideas are also applicable in intelligence and law enforcement.
URL: http://www.rand.org/content/dam/rand/pubs/research_reports/RR1200/RR1200/RAND_RR1200.pdf
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资源类型: 研究报告
标识符: http://119.78.100.158/handle/2HF3EXSE/27320
Appears in Collections:影响、适应和脆弱性
科学计划与规划
气候减缓与适应
气候变化事实与影响
气候变化与战略

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Recommended Citation:
Paul K. Davis,Walter L. Perry,John S. Hollywood,et al. Uncertainty-Sensitive Heterogeneous Information Fusion: Assessing Threat with Soft, Uncertain, and Conflicting Evidence. 2016-01-01.
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