A fuzzy DEA model with undesirable fuzzy outputs and its application to the banking sector in India

作者：

Highlights：

• A DEA model with undesirable outputs is proposed and extended to fuzzy environment.

• The proposed model leads to positive cross-efficiencies of each DMU.

• Algorithms to rank efficient DMUs in crisp and fuzzy environments are developed.

• Performance of banks in India with fuzzy data is measured using new fuzzy approach.

• Impact of NPAs and fuzzy data on banks’ performance are analyzed at different α’s.

摘要

•A DEA model with undesirable outputs is proposed and extended to fuzzy environment.•The proposed model leads to positive cross-efficiencies of each DMU.•Algorithms to rank efficient DMUs in crisp and fuzzy environments are developed.•Performance of banks in India with fuzzy data is measured using new fuzzy approach.•Impact of NPAs and fuzzy data on banks’ performance are analyzed at different α’s.

论文关键词：Data envelopment analysis,Fuzzy data envelopment analysis,Undesirable outputs,Rank efficient units,Banking sector performance

论文评审过程：Available online 18 April 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.04.013