Hyperbolic efficiency measurement: a conic programming approach
DOI10.1016/j.ejor.2018.12.005zbMath1430.90405OpenAlexW2905330294WikidataQ128762304 ScholiaQ128762304MaRDI QIDQ1999369
Maryam Hasannasab, Israfil Roshdi, Dimitris Margaritis, Paul Rouse
Publication date: 26 June 2019
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejor.2018.12.005
Optimality conditions and duality in mathematical programming (90C46) Management decision making, including multiple objectives (90B50) Special problems of linear programming (transportation, multi-index, data envelopment analysis, etc.) (90C08)
Related Items (7)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis
- Estimating the hyperbolic distance function: a directional distance function approach
- Scale elasticity and returns to scale in the presence of alternative solutions
- Probabilistic characterization of directional distances and their robust versions
- Polyhedral cone-ratio DEA models with an illustrative application to large commercials banks
- Computational strategy for Russell measure in DEA: second-order cone programming
- Profit, directional distance functions, and Nerlovian efficiency
- Second-order cone programming
- Scale characterizations in a DEA directional technology distance function framework
- Benefit and distance functions
- Approximation Algorithms and Semidefinite Programming
- On characterizing full dimensional weak facets in DEA with variable returns to scale technology
- Economies of Scale in Multi-Output Production
- Hyperbolic efficiency and return to the dollar
This page was built for publication: Hyperbolic efficiency measurement: a conic programming approach