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Dominance-based Rough Set Approach Supporting Experts in Situation Assessment

机译:基于优势的粗糙集方法在情况评估中支持专家

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摘要

Situation Awareness is the capability of understanding what is happening in order to make informed and correct decisions. The process for gaining good levels of Situation Awareness is defined as situation assessment. One of the main tasks of situation assessment is the identification of the situation. Expert-based and learning-based techniques can be used to automatically identify a situation by processing the available information. In this paper, we propose an approach for supporting situation assessment using Dominance-based Rough Set analysis to learn decision rules from a set of example decisions made by experts, hybridizing both expert-based and learning-based techniques. A case study for Maritime Situation Awareness demonstrates the capability of the approach to support the situation assessment.
机译:情境意识是指了解正在发生的事情,以便做出明智和正确的决策的能力。获得良好状态意识的过程定义为情况评估。态势评估的主要任务之一是识别态势。通过处理可用信息,可以使用基于专家和基于学习的技术来自动识别情况。在本文中,我们提出了一种使用基于优势的粗糙集分析来支持态势评估的方法,以从专家做出的一系列示例决策中学习决策规则,将基于专家和基于学习的技术进行混合。关于海事态势感知的案例研究证明了该方法支持态势评估的能力。

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