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Choosing weights from alternative optimal solutions of dual multiplier models in DEA

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  1. Aigner, Lorenz & Asmild, Mette, 2023. "Identifying the most important set of weights when modelling bad outputs with the weak disposability approach," European Journal of Operational Research, Elsevier, vol. 310(2), pages 751-759.
  2. Maryam Hasannasab & Dimitris Margaritis & Israfil Roshdi & Paul Rouse, 2024. "Positive weights in data envelopment analysis," Journal of Productivity Analysis, Springer, vol. 62(3), pages 351-363, December.
  3. Santos, Sérgio P. & Amado, Carla A.F., 2014. "On the need for reform of the Portuguese judicial system – Does Data Envelopment Analysis assessment support it?," Omega, Elsevier, vol. 47(C), pages 1-16.
  4. Borrás, Fernando & Ruiz, José L. & Sirvent, Inmaculada, 2023. "Peer evaluation through cross-efficiency based on reference sets," Omega, Elsevier, vol. 114(C).
  5. Gong, Yeming & Liu, Jiawen & Zhu, Joe, 2019. "When to increase firms’ sustainable operations for efficiency? A data envelopment analysis in the retailing industry," European Journal of Operational Research, Elsevier, vol. 277(3), pages 1010-1026.
  6. Nikos Chatzistamoulou & Phoebe Koundouri, 2024. "Is Green Transition in Europe Fostered by Energy and Environmental Efficiency Feedback Loops? The Role of Eco-Innovation, Renewable Energy and Green Taxation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(6), pages 1445-1472, June.
  7. Justas Streimikis & Z. Y. Shen & Tomas Balezentis, 2024. "Does the energy-related greenhouse gas emission abatement cost depend on the optimization direction: shadow pricing based on the weak disposability technology in the European Union agriculture," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 32(3), pages 593-619, September.
  8. Lobo, Maria Stella de Castro & Estellita Lins, Marcos Pereira & Rodrigues, Henrique de Castro & Soares, Gabriel Martins, 2022. "Planning feasible and efficient operational scenarios for a university hospital through multimethodology," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
  9. Kalinichenko, Olena & Amado, Carla A.F. & Santos, Sérgio P., 2022. "Exploring the potential of Data Envelopment Analysis for enhancing pay-for-performance programme design in primary health care," European Journal of Operational Research, Elsevier, vol. 298(3), pages 1084-1100.
  10. Nezameddin Faghih & Ebrahim Bonyadi & Lida Sarreshtehdari, 2021. "Assessing the entrepreneurship process: an application of the data envelopment analysis," Journal of Global Entrepreneurship Research, Springer;UNESCO Chair in Entrepreneurship, vol. 11(1), pages 311-327, December.
  11. Ramón, Nuria & Ruiz, José L. & Sirvent, Inmaculada, 2010. "On the choice of weights profiles in cross-efficiency evaluations," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1564-1572, December.
  12. K F Lam, 2010. "In the determination of weight sets to compute cross-efficiency ratios in DEA," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(1), pages 134-143, January.
  13. H. Örkcü & Mehmet Ünsal & Hasan Bal, 2015. "A modification of a mixed integer linear programming (MILP) model to avoid the computational complexity," Annals of Operations Research, Springer, vol. 235(1), pages 599-623, December.
  14. Santos, Sérgio P. & Belton, Valerie & Howick, Susan & Pilkington, Martin, 2018. "Measuring organisational performance using a mix of OR methods," Technological Forecasting and Social Change, Elsevier, vol. 131(C), pages 18-30.
  15. Costa, Marcelo Azevedo & Lopes-Ahn, Ana Lúcia & Kilger, Alexander de Carvalho & Micas, Artur Fontenelle, 2023. "Limitations of weight restrictions in data envelopment analysis for benchmarking Brazilian electricity distribution system operators," Utilities Policy, Elsevier, vol. 82(C).
  16. Po, Rung-Wei & Guh, Yuh-Yuan & Yang, Miin-Shen, 2009. "A new clustering approach using data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 199(1), pages 276-284, November.
  17. Amin, Gholam R. & Emrouznejad, Ali & Rezaei, S., 2011. "Some clarifications on the DEA clustering approach," European Journal of Operational Research, Elsevier, vol. 215(2), pages 498-501, December.
  18. Sergi, S. Bruno & D’Aleo, Vittorio & Arbolino, Roberta & Carlucci, Fabio & Barilla, David & Ioppolo, Giuseppe, 2020. "Evaluation of the Italian transport infrastructures: A technical and economic efficiency analysis," Land Use Policy, Elsevier, vol. 99(C).
  19. Van Puyenbroeck, Tom & Rogge, Nicky, 2017. "Geometric mean quantity index numbers with Benefit-of-the-Doubt weights," European Journal of Operational Research, Elsevier, vol. 256(3), pages 1004-1014.
  20. Marcos Pereira Estellita Lins & Luiz Fernando do Nascimento & José Hernando Dulá & Nilson Trevisan Torres & Angela Cristina M. E. Lins, 2025. "Public bidding in government procurement - A new methodology for ranking bid proposals using full dimensional efficient facets of DEA frontier," Journal of Productivity Analysis, Springer, vol. 64(2), pages 209-222, October.
  21. Cooper, W.W. & Ruiz, José L. & Sirvent, Inmaculada, 2009. "Selecting non-zero weights to evaluate effectiveness of basketball players with DEA," European Journal of Operational Research, Elsevier, vol. 195(2), pages 563-574, June.
  22. Ramón, Nuria & Ruiz, José L. & Sirvent, Inmaculada, 2010. "A multiplier bound approach to assess relative efficiency in DEA without slacks," European Journal of Operational Research, Elsevier, vol. 203(1), pages 261-269, May.
  23. Juan Aparicio & Magdalena Kapelko & Juan F. Monge, 2020. "A Well-Defined Composite Indicator: An Application to Corporate Social Responsibility," Journal of Optimization Theory and Applications, Springer, vol. 186(1), pages 299-323, July.
  24. Olanrewaju, O.A & Jimoh, A.A, 2014. "Review of energy models to the development of an efficient industrial energy model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 661-671.
  25. Fukuyama, Hirofumi & Sekitani, Kazuyuki, 2012. "Decomposing the efficient frontier of the DEA production possibility set into a smallest number of convex polyhedrons by mixed integer programming," European Journal of Operational Research, Elsevier, vol. 221(1), pages 165-174.
  26. Mariani, Francesca & Ciommi, Mariateresa & Recchioni, Maria Cristina, 2024. "A new class of composite indicators: The penalized power mean," European Journal of Operational Research, Elsevier, vol. 317(3), pages 1015-1035.
  27. Hirofumi Fukuyama & Kazuyuki Sekitani, 2012. "An efficiency measure satisfying the Dmitruk–Koshevoy criteria on DEA technologies," Journal of Productivity Analysis, Springer, vol. 38(2), pages 131-143, October.
  28. Lim, Dong-Joon & Anderson, Timothy R. & Inman, Oliver Lane, 2014. "Choosing effective dates from multiple optima in Technology Forecasting using Data Envelopment Analysis (TFDEA)," Technological Forecasting and Social Change, Elsevier, vol. 88(C), pages 91-97.
  29. Ling Wang & Zhongchang Chen & Dalai Ma & Pei Zhao, 2013. "Measuring Carbon Emissions Performance in 123 Countries: Application of Minimum Distance to the Strong Efficiency Frontier Analysis," Sustainability, MDPI, vol. 5(12), pages 1-14, December.
  30. Robert Chambers & Rolf Färe, 2008. "A “calculus” for data envelopment analysis," Journal of Productivity Analysis, Springer, vol. 30(3), pages 169-175, December.
  31. Glover, Fred & Sueyoshi, Toshiyuki, 2009. "Contributions of Professor William W. Cooper in Operations Research and Management Science," European Journal of Operational Research, Elsevier, vol. 197(1), pages 1-16, August.
  32. Afsharian, Mohsen & Ahn, Heinz & Bogetoft, Peter & Kamali, Sara & Lopes-Ahn, Ana, 2025. "Endogenous system-wide output prices in incentive regulation," European Journal of Operational Research, Elsevier, vol. 320(1), pages 188-204.
  33. Ruiz, José L. & Sirvent, Inmaculada, 2012. "On the DEA total weight flexibility and the aggregation in cross-efficiency evaluations," European Journal of Operational Research, Elsevier, vol. 223(3), pages 732-738.
  34. M. C. Portela & A. S. Camanho, 2007. "Performance Assessment of Portuguese Secondary Schools," Working Papers de Economia (Economics Working Papers) 07, Católica Porto Business School, Universidade Católica Portuguesa.
  35. Sérgio Santos & Carla Amado & Mauro Santos, 2012. "Assessing the efficiency of mother-to-child HIV prevention in low- and middle-income countries using data envelopment analysis," Health Care Management Science, Springer, vol. 15(3), pages 206-222, September.
  36. Soltanifar, Mehdi & Shahghobadi, Saeid, 2013. "Selecting a benevolent secondary goal model in data envelopment analysis cross-efficiency evaluation by a voting model," Socio-Economic Planning Sciences, Elsevier, vol. 47(1), pages 65-74.
  37. Dulá, J.H. & López, F.J., 2013. "DEA with streaming data," Omega, Elsevier, vol. 41(1), pages 41-47.
  38. Diogo Cunha Ferreira & Rui Cunha Marques & Alexandre Morais Nunes, 2021. "Correction to: Pay for performance in health care: a new best practice tariff-based tool using a log-linear piecewise frontier function and a dual–primal approach for unique solutions," Operational Research, Springer, vol. 21(3), pages 2147-2148, September.
  39. J. H. Dulá, 2011. "An Algorithm for Data Envelopment Analysis," INFORMS Journal on Computing, INFORMS, vol. 23(2), pages 284-296, May.
  40. Sueyoshi, Toshiyuki & Sekitani, Kazuyuki, 2009. "An occurrence of multiple projections in DEA-based measurement of technical efficiency: Theoretical comparison among DEA models from desirable properties," European Journal of Operational Research, Elsevier, vol. 196(2), pages 764-794, July.
  41. Rogge, Nicky, 2018. "Composite indicators as generalized benefit-of-the-doubt weighted averages," European Journal of Operational Research, Elsevier, vol. 267(1), pages 381-392.
  42. Toloo, Mehdi & Ebrahimi, Bohlool & Amin, Gholam R., 2021. "New data envelopment analysis models for classifying flexible measures: The role of non-Archimedean epsilon," European Journal of Operational Research, Elsevier, vol. 292(3), pages 1037-1050.
  43. Creemers, Stefan & Lambrecht, Marc R. & Beliën, Jeroen & Van den Broeke, Maud, 2021. "Evaluation of appointment scheduling rules: A multi-performance measurement approach," Omega, Elsevier, vol. 100(C).
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