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Enhancing Battlefield Situational Awareness through Fuzzy-Based Value of Information

机译:通过基于模糊的信息价值增强战场态势感知

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A major tenet of the US Army's data-to-decision initiative and a primary challenge for military commanders and their staff is the ability to shorten the cycle time from data gathering to decisions. Today, military operations require information from an unprecedented number of sources resulting in an unprecedented volume of collected data. Required are decision support technologies to improve the synthesis of data to decisions. Paramount to this process is the ability to better assess the applicability and relevance of information for decisions in complex military environments. Towards this end, this paper presents a soft computing approach and early results for calculating the Value of Information (VoI) in complex military environments using fuzzy associative memory as an effectively framework for contextually tuning its value based on content, reliability and latency.
机译:美国陆军数据决策计划的主要宗旨和对军事指挥官及其参谋人员的主要挑战是缩短从数据收集到决策的周期时间的能力。如今,军事行动需要来自空前数量来源的信息,从而导致空前数量的收集数据。需要决策支持技术来改善数据与决策的综合。对于此过程而言,最重要的是能够更好地评估信息在复杂军事环境中决策的适用性和相关性。为此,本文提出了一种软计算方法和早期结果,用于使用模糊联想记忆作为基于内容,可靠性和延迟在上下文中调整其价值的有效框架,来计算复杂军事环境中的信息价值(VoI)。

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