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Fuzzy factor analysis on multi-source information of post- disaster management and its application on hospital emergency measurements evaluation

机译:灾后管理多源信息的模糊因子分析及其在医院应急评估中的应用

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Multisource information of post-disaster appears different statistics feature and becoming more complex. Uncertainly or incomplete information was present by fuzzy set in this paper and a fuzzy clustering algorithm was addressed to get means of each factor in post-disaster management. A factor analysis combine fuzzy interpreter application shows the effectiveness on hospital reacts and measurement under emergency conditions that relative man-made or natural disaster. Results indicated that factor analysis will reduce the complexity from high level to low level, the relations and correlations between factors also was acquired that will be helpful for improve the measurement for hospital on post-disaster management.
机译:灾后多源信息呈现出不同的统计特征,并且变得越来越复杂。本文通过模糊集给出不确定或不完整的信息,并提出了一种模糊聚类算法,以获取灾后管理中各个因素的影响。因子分析结合模糊解释器的应用表明,在相对人为或自然灾害的紧急情况下,医院的反应和测量的有效性。结果表明,因子分析可以将复杂性从高层次降低到低层次,并获得因子之间的相互关系,这将有助于改善医院对灾后管理的衡量。

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