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

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Date

2019

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Publisher

Springer

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Computer Engineering
(1998)
The Atılım University Department of Computer Engineering was founded in 1998. The department curriculum is prepared in a way that meets the demands for knowledge and skills after graduation, and is subject to periodical reviews and updates in line with international standards. Our Department offers education in many fields of expertise, such as software development, hardware systems, data structures, computer networks, artificial intelligence, machine learning, image processing, natural language processing, object based design, information security, and cloud computing. The education offered by our department is based on practical approaches, with modern laboratories, projects and internship programs. The undergraduate program at our department was accredited in 2014 by the Association of Evaluation and Accreditation of Engineering Programs (MÜDEK) and was granted the label EUR-ACE, valid through Europe. In addition to the undergraduate program, our department offers thesis or non-thesis graduate degree programs (MS).

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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

Keywords

Data envelopment analysis (DEA), Multi-criteria decision making, Analytic hierarchy process (AHP), Fuzzy logic, Healthcare analytics

Turkish CoHE Thesis Center URL

Citation

67

WoS Q

Q1

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Source

Volume

278

Issue

1-2

Start Page

361

End Page

378

URI

https://doi.org/10.1007/s10479-016-2330-1
 https://hdl.handle.net/20.500.14411/3300

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