Acta Univ. Agric. Silvic. Mendelianae Brun. 2019, 67(6), 1665-1669 | DOI: 10.11118/actaun201967061665

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

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.

Keywords: data envelopment analysis, voting systems, penalty
Grants and 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.

Received: June 3, 2019; Accepted: September 26, 2019; Published: December 22, 2019  Show citation

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Zýková, P. (2019). Comparison Between Data Envelopment Analysis Models with Penalties. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 67(6), 1665-1669. doi: 10.11118/actaun201967061665
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