Incorporating the human analyst into the data fusion process by modeling situation awareness using fuzzy cognitive maps
Incorporating the human analyst into the data fusion process by modeling situation awareness using fuzzy cognitive maps
复制标题
通过使用模糊认知图对态势感知进行建模，将人类分析师纳入数据融合过程
DOI：
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
M. Endsley
中科院分区：
文献类型：
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作者：
Rashaad E. T. Jones;Erik S. Connors;M. Endsley
当前的数据融合模型缺乏完全支持人类分析人员认知过程的能力。数据融合社区已经表示需要更好地将用户整合到他们的模型中。本文的目的是描述如何使用模糊逻辑来开发支持态势感知的数据融合模型。基于目标导向任务分析（GDTA）方法提供的分析师的形式化表示开发该模型，可以推进当前的数据融合模型，因为它为如何在数据融合过程中有效地支持人类认知提供了有价值的见解。
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.