Uncertainty-Sensitive Heterogeneous Information Fusion: Assessing Threat with Soft, Uncertain, and Conflicting Evidence

doi:10.7249/RR1200

GSTDTAP > 资源环境科学

DOI	10.7249/RR1200
报告编号	RR-1200-NAVY
	Uncertainty-Sensitive Heterogeneous Information Fusion: Assessing Threat with Soft, Uncertain, and Conflicting Evidence
	Paul K. Davis; Walter L. Perry; John S. Hollywood; David Manheim
	2016
出版年	2016
页数	168
语种	英语
国家	美国
出版者	RAND Corporation
领域	资源环境
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.
英文关键词	Intelligence Community Terrorism Threat Assessment Counterterrorism Mathematics Robust Decision Making
URL	查看原文
来源平台	Rand Corporation
引用统计
文献类型	科技报告
条目标识符	http://119.78.100.173/C666/handle/2XK7JSWQ/4529
专题	资源环境科学
推荐引用方式 GB/T 7714	Paul K. Davis,Walter L. Perry,John S. Hollywood,et al. Uncertainty-Sensitive Heterogeneous Information Fusion: Assessing Threat with Soft, Uncertain, and Conflicting Evidence:RAND Corporation,2016.