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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:在分析紧急决策和紧急决策支持系统的特征中,可以发现,紧急决策和支持系统的有效应用必须依赖于特定模型和方法,以便在短时间内实现高效率和科学决定,因为具体情况决策要求和决策环境。事件检索基于相似性理论一般,并且通过计算相似性来找到类似的事件,以便为决策提供参考。基于对紧急情况的概念和特征的深入研究,它提出了本文中的多维数据模型,将事件属性分成不同类型,结构化和非结构化。模型根据不同类型计算属性相似度,进一步分析事件相似性。

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