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Multi-dimension data model for emergency event and analysis of similarity

机译:紧急事件的多维数据模型和相似性分析

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In the analysis of the features of emergency decision and emergency decision support system it can find that the effective application of emergency decision and support systems must rely on the specific models and methods to achieve high efficiency and scientific decision in a short time because of the specific decision requirements and decision environment. Events retrieval is based on similarity theory in general, and it finds similar events by calculating the similarity, so as to provide reference for decision-making. Based on in-depth research of the conception and characteristics of the emergencies it proposed a multidimensional data model in this paper that divided the event attributes into different type, structured and unstructured. The model calculated attributes similarity according to different types, further analysis of the events similarity.
机译:在分析应急决策和应急决策支持系统的特征时,可以发现,应急决策和支持系统的有效应用必须依靠特定的模型和方法,因为特定的模型和方法要在短时间内实现高效,科学的决策。决策要求和决策环境。事件检索一般基于相似性理论,通过计算相似度来发现相似事件,为决策提供参考。在对突发事件的概念和特征进行深入研究的基础上,提出了一种多维数据模型,将事件属性分为不同类型,结构化和非结构化。该模型根据不同类型计算属性相似度,进一步分析事件相似度。

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