An Integrated Fuzzy Clustering Cooperative Game Data Envelopment Analysis Model with application in Hospital Efficiency


Hospitals are the main sub-section of health care systems and evaluation of hospitals is one of the most important issue for health policy makers. Data Envelopment Analysis (DEA) is a nonparametric method that has recently been used for measuring efficiency and productivity of Decision Making Units (DMUs) and commonly applied for comparison of hospitals. However, one of the important assumption in DEA is that DMUs must be homogenous. The crucial issue in hospital efficiency is that hospitals are providing different services and so may not be comparable. In this paper, we propose an integrated fuzzy clustering cooperative game DEA approach. In fact, due to the lack of homogeneity among DMUs, we first propose to use a fuzzy C-means technique to cluster the DMUs. Then we apply DEA combined with the game theory where each DMU is considered as a player, using Core and Shapley value approaches within each cluster. The procedure has successfully been applied for performances measurement of 288 hospitals in 31 provinces of Iran. Finally, since the classical DEA model is not capable to distinguish between efficient DMUs, efficient hospitals within each cluster, are ranked using combined DEA model and cooperative game approach. The results show that the Core and Shapley values are suitable for fully ranking of efficient hospitals in the healthcare systems.

Publication DOI:
Divisions: College of Business and Social Sciences > Aston Business School > Operations & Information Management
College of Business and Social Sciences > Aston Business School
Additional Information: Creative Commons Attribution 4.0 International (CC BY 4.0)
Uncontrolled Keywords: Data Envelopment Analysis,Fuzzy C-means,Core and Shapley value,Hospital efficiency
Publication ISSN: 1873-6793
Last Modified: 15 Apr 2024 07:28
Date Deposited: 07 Aug 2018 08:11
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Related URLs: https://linking ... 957417418304986 (Publisher URL)
PURE Output Type: Article
Published Date: 2018-12-30
Published Online Date: 2018-07-31
Accepted Date: 2018-07-31
Authors: Omrani, Hashem
Shafaat, Khatereh
Emrouznejad, Ali (ORCID Profile 0000-0001-8094-4244)



Version: Accepted Version

License: Creative Commons Attribution

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