@inproceedings{7b0fc18acdb847cd9063273d1208b321,
title = "Robust DEA for banks' efficiency under uncertainty",
abstract = "The Data Envelopment Analysis (DEA) has been the benchmarked model for measuring the efficiency of banks over the years. However, inherent noise and uncertainties in the data are hardly considered for robust efficiency scores. The disadvantage is that a small perturbation in the uncertain parameters can lead to high infeasibility of the efficient solutions. This paper introduces a robust DEA into the measurement of banks efficiency. The proposed robust approach is based on the robust counterpart optimization of Ben-Tal & Nemirovski (2000), and it is implemented in the traditional DEA models germane to the performance measurement of banks. A preliminary result from data on banks in the Czech Republic indicates that efficiency scores measured with the robust DEA model provides a true and stable performance measure than the normal DEA model.",
keywords = "Banks efficiency, DEA, Robust DEA, Robust optimization, Uncertainty",
author = "Mensah, {Emmanuel Kwasi} and Mehdi Toloo",
year = "2017",
language = "English",
series = "SMSIS 2017 - Proceedings of the 12th International Conference on Strategic Management and its Support by Information Systems 2017",
publisher = "VSB-Technical University of Ostrava",
pages = "304--311",
editor = "Radek Nemec and Lucie Chytilova",
booktitle = "SMSIS 2017 - Proceedings of the 12th International Conference on Strategic Management and its Support by Information Systems 2017",
address = "Czech Republic",
note = "12th International Conference on Strategic Management and its Support by Information Systems 2017, SMSIS 2017 ; Conference date: 25-05-2017 Through 26-05-2017",
}