Measuring the efficiency of hospitals: a fully-ranking DEA–FAHP approach

Babak Daneshvar Rouyendegh, Asil Oztekin (), Joseph Ekong and Ali Dag
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Babak Daneshvar Rouyendegh: Atilim University
Asil Oztekin: University of Massachusetts Lowell
Joseph Ekong: Auburn University
Ali Dag: University of South Dakota

Annals of Operations Research, 2019, vol. 278, issue 1, No 17, 378 pages

Abstract: 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.

Keywords: Data envelopment analysis (DEA); Multi-criteria decision making; Analytic hierarchy process (AHP); Fuzzy logic; Healthcare analytics (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (9)

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DOI: 10.1007/s10479-016-2330-1

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