Measuring the Efficiency of Hospitals: a Fully-Ranking Dea-Fahp Approach
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Date
2019
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Volume Title
Publisher
Springer
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Abstract
The goal of this study is to present a DEA-based fuzzy multi-criteria decision making model for firms in the health care industry in order to enhance their business performance. The study demonstrates a real-life use of the proposed model, mainly designed for hospitals. Data envelopment analysis enhanced with fuzzy analytic hierarchy process are collectively utilized to quantify the data and structure the model in decision-making. The juxtaposition of the two methods is used to compile a ranked list of multiple proxies containing diverse input and output variables which occur in two stages. This hybrid model provides several benefits, one of which is the ability to make the most appropriate decision considering the value of the weights determined by the data from the hybrid model.
Description
Erdebilli, Babek/0000-0001-8860-3903
ORCID
Keywords
Data envelopment analysis (DEA), Multi-criteria decision making, Analytic hierarchy process (AHP), Fuzzy logic, Healthcare analytics
Turkish CoHE Thesis Center URL
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Q1
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Source
Volume
278
Issue
1-2
Start Page
361
End Page
378