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A method for discriminating efficient candidates with ranked voting data

Citations

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Cited by:

  1. A. Davoodi & H. Rezai, 2012. "Common set of weights in data envelopment analysis: a linear programming problem," 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. 20(2), pages 355-365, June.
  2. Pongou, Roland & Tchantcho, Bertrand & Tedjeugang, Narcisse, 2014. "Power theories for multi-choice organizations and political rules: Rank-order equivalence," Operations Research Perspectives, Elsevier, vol. 1(1), pages 42-49.
  3. Bonifacio Llamazares & Teresa Peña, 2015. "Positional Voting Systems Generated by Cumulative Standings Functions," Group Decision and Negotiation, Springer, vol. 24(5), pages 777-801, September.
  4. Byeong Seok Ahn, 2024. "An Integrated Approach to Preferential Voting Models with Variable Weights for Rank Positions," Group Decision and Negotiation, Springer, vol. 33(3), pages 565-586, June.
  5. Freixas, Josep & Tchantcho, Bertrand & Tedjeugang, Narcisse, 2014. "Achievable hierarchies in voting games with abstention," European Journal of Operational Research, Elsevier, vol. 236(1), pages 254-260.
  6. Llamazares, Bonifacio, 2026. "A general model for dealing with ranking voting systems," European Journal of Operational Research, Elsevier, vol. 329(3), pages 1004-1014.
  7. Lampe, Hannes W. & Hilgers, Dennis, 2015. "Trajectories of efficiency measurement: A bibliometric analysis of DEA and SFA," European Journal of Operational Research, Elsevier, vol. 240(1), pages 1-21.
  8. Mu-Chen Chen & Taho Yang & Chi-Tsung Yen, 2007. "Investigating the value of information sharing in multi-echelon supply chains," Quality & Quantity: International Journal of Methodology, Springer, vol. 41(3), pages 497-511, June.
  9. Bonifacio Llamazares, 2016. "Ranking Candidates Through Convex Sequences of Variable Weights," Group Decision and Negotiation, Springer, vol. 25(3), pages 567-584, May.
  10. Mohammad Izadikhah & Reza Farzipoor Saen, 2019. "Solving voting system by data envelopment analysis for assessing sustainability of suppliers," Group Decision and Negotiation, Springer, vol. 28(3), pages 641-669, June.
  11. Paolo Viappiani, 2024. "Volumetric Aggregation Methods for Scoring Rules with Unknown Weights," Post-Print hal-04440153, HAL.
  12. Freixas, Josep & Kurz, Sascha, 2013. "The golden number and Fibonacci sequences in the design of voting structures," European Journal of Operational Research, Elsevier, vol. 226(2), pages 246-257.
  13. Yu Xiao & Ye Deng & Jun Wu & Hong‐Zhong Deng & Xin Lu, 2017. "Comparison of rank aggregation methods based on inherent ability," Naval Research Logistics (NRL), John Wiley & Sons, vol. 64(7), pages 556-565, October.
  14. Llamazares, Bonifacio, 2024. "Ranking voting systems and surrogate weights: Explicit formulas for centroid weights," European Journal of Operational Research, Elsevier, vol. 317(3), pages 967-976.
  15. Madjid Tavana & Mehdi Soltanifar & Francisco J. Santos-Arteaga, 2023. "Analytical hierarchy process: revolution and evolution," Annals of Operations Research, Springer, vol. 326(2), pages 879-907, July.
  16. Freixas, Josep & Marciniak, Dorota & Pons, Montserrat, 2012. "On the ordinal equivalence of the Johnston, Banzhaf and Shapley power indices," European Journal of Operational Research, Elsevier, vol. 216(2), pages 367-375.
  17. Mohammad Izadikhah & Reza Farzipoor Saen & Ramin Zare & Mohadese Shamsi & Maryam Khanmohammadi Hezaveh, 2025. "Assessing the stability of suppliers using a multi-objective fuzzy voting data envelopment analysis model," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(9), pages 22005-22047, September.
  18. Llamazares, Bonifacio & Peña, Teresa, 2013. "Aggregating preferences rankings with variable weights," European Journal of Operational Research, Elsevier, vol. 230(2), pages 348-355.
  19. Davis, Brent, 2016. "“Attitudes to Leadership and Voting: Finding the Efficient Frontier”," MPRA Paper 72792, University Library of Munich, Germany.
  20. Ebrahimnejad, Ali & Tavana, Madjid & Santos-Arteaga, Francisco J., 2016. "An integrated data envelopment analysis and simulation method for group consensus ranking," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 119(C), pages 1-17.
  21. Paolo Viappiani, 2024. "Volumetric Aggregation Methods for Scoring Rules with Unknown Weights," Group Decision and Negotiation, Springer, vol. 33(3), pages 515-563, June.
  22. Ignacio Contreras, 2010. "A Distance-Based Consensus Model with Flexible Choice of Rank-Position Weights," Group Decision and Negotiation, Springer, vol. 19(5), pages 441-456, September.
  23. Llamazares, Bonifacio & Pea, Teresa, 2009. "Preference aggregation and DEA: An analysis of the methods proposed to discriminate efficient candidates," European Journal of Operational Research, Elsevier, vol. 197(2), pages 714-721, September.
  24. Y M Wang & K S Chin & J B Yang, 2007. "Three new models for preference voting and aggregation," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(10), pages 1389-1393, October.
  25. Josep Freixas & Roberto Lucchetti, 2016. "Power in voting rules with abstention: an axiomatization of a two components power index," Annals of Operations Research, Springer, vol. 244(2), pages 455-474, September.
  26. 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.
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