USE OF A MULTI-CRITERIA DECISION SUPPORT MODEL BASED ON THE AHP METHOD FOR THE SELECTION OF HEALTH INFRASTRUCTURE PROJECTS

Q4 Decision Sciences
Mohamed Akhrouf, Mahfoud Derghoum
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引用次数: 2

Abstract

This article aims to develop a methodology in which alternative projects are prioritized and selected using appropriate methods of multi-criteria decision-making in organizations responsible for managing and developing health infrastructure. This study addresses a particular gap in implementing a systematic methodology for prioritizing and selecting projects in the health sector. The methodology developed proposes an approach based on the AHP multi-criteria decision support method for decision-makers and stakeholders to prioritize and select projects in the health sector. The problem was modeled using the Expert Choice software which allows a good “integration of the decision-maker” in the decision-making process making it possible to intervene in the research and decisions to identify the most efficient and potentially profitable health projects that are useful to the community.
基于层次分析法的多准则决策支持模型在卫生基础设施项目选择中的应用
本文旨在开发一种方法,在负责管理和发展卫生基础设施的组织中,使用适当的多标准决策方法对备选项目进行优先排序和选择。这项研究解决了在卫生部门确定优先次序和选择项目的系统方法实施方面的一个特殊差距。所开发的方法提出了一种基于AHP多标准决策支持方法的方法,供决策者和利益攸关方优先考虑和选择卫生部门的项目。该问题是使用专家选择软件建模的,该软件允许在决策过程中很好地“整合决策者”,从而可以干预研究和决策,以确定对社区有用的最有效和潜在盈利的卫生项目。
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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来源期刊
International Journal of the Analytic Hierarchy Process
International Journal of the Analytic Hierarchy Process Decision Sciences-Decision Sciences (all)
CiteScore
2.30
自引率
0.00%
发文量
22
审稿时长
12 weeks
期刊介绍: IJAHP is a scholarly journal that publishes papers about research and applications of the Analytic Hierarchy Process(AHP) and Analytic Network Process(ANP), theories of measurement that can handle tangibles and intangibles; these methods are often applied in multicriteria decision making, prioritization, ranking and resource allocation, especially when groups of people are involved. The journal encourages research papers in both theory and applications. Empirical investigations, comparisons and exemplary real-world applications in diverse areas are particularly welcome.
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