县级综合保健组织的评价：权重-灰色合成评价法的组合

IF 0.5 Q4 ENGINEERING, MULTIDISCIPLINARY

Journal of Computational Methods in Sciences and Engineering Pub Date : 2023-12-15 DOI:10.3233/jcm-237009

Qianqian Wu, Kejia Chen

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引用次数: 0

摘要

本文旨在改进中国县级综合医疗卫生机构（CIHO）的疗效评估。通过对福建省县级综合卫生机构的分析，实证研究证实了加权-灰色合成综合评价方法的有效性。评价指标的综合权重采用建议的方法计算，该方法结合了分析网络过程法和变异系数法。确定待评价 CIHO 的灰色中心点，构建白化权重函数，建立综合评价矩阵，然后计算综合分值并进行排序。通过这种综合方法，可以科学地对 CIHO 进行更全面的评估。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Evaluation of county-level integrated health organizations: Combination of the weighting-grey synthetic evaluation method

This paper aims to improve the efficacy assessment of County-level Integrated Health Organizations (CIHOs) in China. By analyzing CIHOs in Fujian Province, an empirical study was done to confirm the efficacy of the combined weighted-grey synthetic evaluation approach. The combined weights of evaluation indicators are calculated using the suggested method, which combines the analytical network process method and the coefficient of variation method. The grey center points of the CIHOs to be evaluated are determined, the whitenization weight functions is constructed, a comprehensive evaluation matrix is established, and then the composite score values are calculated and ranked. A more thorough evaluation of CIHOs can be accomplished scientifically using this comprehensive approach.

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来源期刊

Journal of Computational Methods in Sciences and Engineering ENGINEERING, MULTIDISCIPLINARY-

CiteScore

0.80

自引率

0.00%

发文量

152

期刊介绍： The major goal of the Journal of Computational Methods in Sciences and Engineering (JCMSE) is the publication of new research results on computational methods in sciences and engineering. Common experience had taught us that computational methods originally developed in a given basic science, e.g. physics, can be of paramount importance to other neighboring sciences, e.g. chemistry, as well as to engineering or technology and, in turn, to society as a whole. This undoubtedly beneficial practice of interdisciplinary interactions will be continuously and systematically encouraged by the JCMSE.