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Generating visualisation for crime scene investigation based on probability result of knowledge-based system

机译:基于知识型系统的概率结果,为犯罪现场调查产生可视化

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摘要

Knowledge-Based System (KBS) and visualisation tool have played a major role to support the activities of human decision-making including in Crime Scene Investigation (CSI). However, there is an increasing concern that visualisation tools and KBS are not being applied effectively. The way it is presented as evidence or when expressed as a hypothesis may not be correct. In CSI, uncertainty is a common problem situation in the decision-making process. This paper discusses a framework of integrated KBS and visualisation for CSI. In the KBS, probabilistic reasoning can deal with uncertainty in decision-making by generating the numerical results of probability. Then, the numerical results from the KBS have been applied in ProModel software to generate a 2D visualisation based on the expertise and knowledge of the decision-maker. A very positive response has been obtained by experts in terms of supporting decision-making and investigation strategy.
机译:基于知识的系统(KBS)和可视化工具发挥了重要作用,以支持人类决策的活动,包括犯罪现场调查(CSI)。 但是,越来越多的问题是,可视化工具和KB不有效地应用。 作为证据或表示为假设的方式呈现的方式可能并非正确。 在CSI中,不确定性是决策过程中的常见问题情况。 本文讨论了CSI集成KBS和可视化的框架。 在KBS中,概率推理可以通过产生概率的数值结果来应对决策的不确定性。 然后,kBS的数值结果已经应用于Promodel软件,以基于决策者的专业知识和知识来生成2D可视化。 在支持决策和调查战略方面,专家已经获得了非常积极的回应。

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