灾后急救医院绩效的模糊分析与仿真

Mubarak Banisakher, Pamela McCualey, Van Nguyen, N. Yousef
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引用次数: 2

摘要

为了在灾后管理系统和个人之间建立有效的合作,以便分享数据,必须通过适当的协定,对这些个人的需要作出及时的反应。这种协定将增加它们参与这一进程的意愿。此外,在政府、私营部门和学术部门之间建立适当的关系将导致更好地利用它们的能力(例如国家测绘机构),并使PDMS能够从灾害响应中获得大量数据。对矩阵型数据集进行模糊因子分析,是利用模糊变换对某一指标进行子数据集的标引;本文对调查数据集进行了模糊因子分析,为了利用模糊变换对某些指标进行子数据集的标引,有必要对矩阵型数据集进行模糊因子分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fuzzy Analysis and Simulations for Emergency Hospital Performance in Post-Disaster
In order to establish an effective collaboration between post-disaster management systems (PDMS) and individuals for data sharing, appropriate agreements with a timely response for the need of these individuals must be adopted. Such agreements will increase their willingness to participate in this process. Additionally establishing an appropriate relationship between governments, private and academic sectors will lead to better utilization of their capabilities (e.g. national mapping agencies) and allow PDMS to acquire plenty of data from the disaster response. Fuzzy factors analysis on matrix type dataset is to conduct a subdataset indexing by some indices using fuzzy transformation; the survey dataset in this paper were processed by fuzzy factors analysis, In order to conduct sub-dataset indexing by some indices using fuzzy transformation, it is necessary to use fuzzy factor analyst on matrix type dataset.
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