Data envelopment analysis


Data envelopment analysis

Members of the research team from the DAMS

  • doc. RNDr. Margaréta Halická, CsC.
  • doc. RNDr. Mária Trnovská, PhD.
  • prof. RNDr. Daniel Ševčovič, DrSc.
  • Mgr. Jana Szolgayová, PhD.
  • Mgr. Terézia Fulová
  • Mgr. Alex Babiš

Data envelopment analysis (DEA) is a non-parametric method in operations research for measuring the relative efficiency of decision making units based on mathematical programming techniques. In our research we focus on applying the theory and methods of convex optimisation to provide a unified analysis of DEA models, on studying the environmental DEA models and on designing computational methods for large-scale DEA models. We also work on implementing codes for a large variety of linear and non-linear DEA models and related problems.

Selected papers

  1. M. Halická, M. Trnovská (2021): A unified approach to non-radial graph models in data envelopment analysis: common features, geometry, and duality, European Journal of Operational Research, 289 (2), 611-627.
  2. M. Halická, M. Trnovská (2019): Duality and profit efficiency for the hyperbolic measure model, European Journal of Operational Research, 278 (2), 410-421.
  3. M. Trnovská, M. Halická (2019): Nonlinear data envelopment analysis models for technologies with undesirable outputs International Journal of Decision Support Systems, 4 (2), 130-142.
  4. M. Halická, M. Trnovská (2018): Negative features of hyperbolic and directional distance models for technologies with undesirable outputs, Central European Journal of Operations Research, 26 (4), 887-907.
  5. M. Halická, M. Trnovská (2018): The Russell measure model: Computational aspects, duality, and profit efficiency, Central European Journal of Operations Research, 268 (1), 386-397.