An integrated fuzzy clustering cooperative game data envelopment analysis model with application in hospital efficiency

作者：

Highlights：

• To introduce an Integrated Fuzzy Clustering Cooperative Game DEA.

• To provide a clustering technique to deal with lack of homogeneity among DMUs.

• To provide a framework for measuring hospitals in different provinces.

• Use of Core and Shapley values for ranking efficient DMUs in DEA.

摘要

•To introduce an Integrated Fuzzy Clustering Cooperative Game DEA.•To provide a clustering technique to deal with lack of homogeneity among DMUs.•To provide a framework for measuring hospitals in different provinces.•Use of Core and Shapley values for ranking efficient DMUs in DEA.

论文关键词：Data envelopment analysis,Fuzzy C-means,Core and shapley value,Hospital efficiency

论文评审过程：Received 18 October 2017, Revised 29 July 2018, Accepted 31 July 2018, Available online 31 July 2018, Version of Record 7 September 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.07.074