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Attaining Medical Care Resource Equity in Taiwan Using Grey Data Envelopment Analysis

机译:基于灰色数据包络分析的台湾医疗资源公平性

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This study attempts to integrate GM (0, N) with data envelopment analysis (DEA) to analyze the equality of medical resource distribution and identify medical areas that lack medical resources and have low competition. First, this study employs GM (0, N) to determine the upper and lower limits, then those limits (the opinions of experts or decision-makers) are included in the DEA evaluation, enabling this study to solve the problem of calculating the upper and lower limits of conventional DEA Assurance Region Analysis, while to increase the distinguish power of DEA model, and the evaluation results closely reflect reality. Consequently, this study can provide the information needed to facilitate location selection for a new hospital.C
机译:本研究试图将GM(0,N)与数据包络分析(DEA)集成在一起,以分析医疗资源分配的均等性,并确定缺乏医疗资源且竞争较低的医疗领域。首先,本研究使用GM(0,N)来确定上限和下限,然后将这些上限(专家或决策者的意见)包括在DEA评估中,从而使该研究能够解决计算上限的问题。降低了传统DEA保证区域分析的下限,同时提高了DEA模型的区分能力,并且评估结果紧密反映了现实。因此,这项研究可以提供促进新医院选址所需的信息。

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