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Incorporating the Human Analyst into the Data Fusion Process by Modeling Situation Awareness Using Fuzzy Cognitive Maps

机译:通过使用模糊认知地图建模情况意识,将人体分析师纳入数据融合过程中

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Current data fusion models lack the capability of fully supporting the cognitive processes of the human analyst. The data fusion community has expressed a need to better incorporate users within their models. The purpose of this paper is to describe how to use fuzzy logic to develop a data fusion model that supports situation awareness (SA). Developing this model based on the formal representation of the analyst provided by the Goal-Directed Task Analysis (GDTA) methodology advances current data fusion models because it provides valuable insight on how to effectively support human cognition within the data fusion process.
机译:目前的数据融合模型缺乏完全支持人类分析师认知过程的能力。数据融合社区表达了需要更好地将用户纳入其模型中。本文的目的是介绍如何使用模糊逻辑开发一个支持情况意识(SA)的数据融合模型。根据目标定向的任务分析(GDTA)方法提供的分析师的正式表示,开发此模型,该模型推进当前数据融合模型,因为它为如何有效地支持数据融合过程中的人类认知提供有价值的洞察力。

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