Acta Univ. Agric. Silvic. Mendelianae Brun. 2019, 67, 1665-1669

https://doi.org/10.11118/actaun201967061665
Published online 2019-12-22

Comparison Between Data Envelopment Analysis Models with Penalties

Petra Zýková

Department of Econometrics, Faculty of Informatics and Statistics, University of Economics, Prague, W. Churchill Sq. 4, 13067 Praha 3, Czech Republic

Received June 3, 2019
Accepted September 26, 2019

The paper deals with Data Envelopment Analysis (DEA) models with advanced voting systems for ranking of candidates with penalties. The main aims of the system are to find a general winner and ranking of all candidates. Every voter gives the ranking of the first t-candidates and can give penalties to candidates who he/she surely does not want to vote for. Advanced voting systems are being used based on the use of data envelopment analysis models. The original contribution of the paper consists in the formulation of a new DEA/AR model with penalties. This model is derived from the DEA/AR model with penalties. The proposed models are illustrated on a simulated data set. This paper aims to compare DEA models with penalties.

Funding

The research is supported by the Internal Grant Agency of the Faculty of Informatics and Statistics, University of Economics, Prague, project F4/20/2018.

References

7 live references