Analysis and Evaluation of Medical Care Data using Analytic Fuzzy Process

Parth Batra, Dr. Shuchi Sethi, Kanishk Kandoi
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引用次数: 0

Abstract

In the last 2 decades, managers have increasingly used multi-criteria decision-making techniques like the analytic hierarchy process (AHP) owing to its many advantages. Additionally, the capabilities of multi-criteria decision-making techniques are enhanced with the use of Fuzzy logic. The purpose of this research was to assess the efficacy of the FAHP strategy in the hospital setting. In this research, we used the Fuzzy Analytic Hierarchy Process to conduct a comprehensive literature review, omitting consideration of temporal considerations in favor of a focus on input and output criteria, finding that the technique has the widest applicability to questions of quality of service and positional awareness but relatively little use elsewhere in the health service. Although FAHP approaches are increasingly being used in the healthcare sector, their prevalence is still modest when compared to other disciplines.
医疗保健数据的模糊分析与评价
在过去的20年里,管理者越来越多地使用多标准决策技术,如层次分析法(AHP),因为它有许多优点。此外,模糊逻辑的应用增强了多准则决策技术的能力。本研究的目的是评估FAHP策略在医院环境中的有效性。在本研究中,我们使用模糊层次分析法进行了全面的文献综述,省略了对时间因素的考虑,转而关注投入和产出标准,发现该技术在服务质量和位置意识问题上具有最广泛的适用性,但在卫生服务的其他地方使用相对较少。尽管FAHP方法越来越多地用于医疗保健部门,但与其他学科相比,其流行程度仍然不高。
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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