Abstract
Given a ranking of elements of a set and given a disjoint partition of the same set, the ranking does not generally imply a total order of the partition. In this paper, we introduce the Kendall-\(\tau \)partition ranking, a linear order of the subsets of the partition which follows from the given ranking. We prove that, under certain assumptions, the Kendall-\(\tau \) partition ranking is robust, in the sense that it remains the same when removing subsets of the partition. Then, we give several results (properties) concerning the adequacy of the ranking for ordering the partition and we prove that the integrality gap of the 0–1 problem associated to the Kendall-\(\tau \) partition ranking tends to 8/7. Additionally, we provide a comparison of the new ranking with respect to the mean and median based scores from a theoretical and empirical point of view. Finally, a real application with data from the Programme for International Student Assessment is presented, where countries are ordered based on their school rankings.
Similar content being viewed by others
Notes
A preference matrix \(M = (m_{ij})\) defines a partial order (tournament) in V , i.e., candidate i is preferred to candidate j if \(m_{ij} > m_{ji}\). A tournament provides a linear order of candidates in V if it is transitive, i.e., if \(m_{ij} > m_{ji}\) and \(m_{jk} > m_{kj}\) it implies \(m_{ik} > m_{ki}\), the opposite is known as the “the Condorcet paradox”.
References
Ailon, N., Charikar, M., & Newman, A. (2008). Aggregating inconsistent information: Ranking and clustering. Journal of the ACM, 55, 1–27.
Arrow, K. J. (1951). Social choice and individual values (p. 16). New York: Wiley.
Burkard, R. E., & Fincke, U. (1985). Probabilistic asymptotic properties of some combinatorial optimization problems. Discrete Applied Mathematics, 12, 21–29.
Charon, I., & Hudry, O. (2007). A survey on the linear ordering problem for weighted or unweighted tournament. 4OR, 5, 5–60.
Charon, I., & Hudry, O. (2010). An updated survey on the linear ordering problem for weighted or unweighted tournament. Annals of Operations Research, 175, 107–158.
Charon, I., & Hudry, O. (2011). Maximum distance between Slater orders and Copeland orders of tournaments. Order, 28, 99–119.
Fagin, R., Kumar, R., Mahdian, M., Sivakumar, D., & Vee, E. (2006). Comparing partial rankings. SIAM Journal on Discrete Mathematics, 20, 628–648.
García-Nové, E.M. (2018). Nuevos problemas de agregación de rankings: Modelos y algoritmos, PhD Thesis. Spain: University Miguel Hernández of Elche.
García-Nové, E. M., Alcaraz, J., Landete, M., Puerto, J., & Monge, J. F. (2017). Rank aggregation in cyclic sequences. Optimization Letters, 11, 667–678.
Glover, F., Klastorin, T., & Kongman, D. (1974). Optimal weighted ancestry relationships. Management Science, 20(8), 1190–1193.
Hudry, O. (2010). On the complexity of Slater’s problem. European Journal of Operational Research, 203, 216–221.
Kemeny, J. (1959). Mathematics without numbers. Daedalus, 88, 577–591.
Kendall, M. (1938). A new measure of rank correlation. Biometrika, 30, 81–89.
Lietz, P., Cresswell, J. C., Adams, R. J., & Rust, K. F. (Eds.). (2017). Implementation of large-scale education assessments. Hoboken: Wiley.
Martí, R., & Reinelt, G. (2011). The linear ordering problem: Exact and heuristic methods in combinational optimization (1st ed.). Berlin: Springer.
OECD. (2014). PISA 2012 Technical Report. Paris: OECD Publishing. Retrived March 21, 2018 from http://www.oecd.org/pisa/pisaproducts/pisa2012technicalreport.htm.
Rahmaniani, R., Crainic, T. G., Michel, Gendreau, & Rei, W. (2017). The Benders decomposition algorithm: A literature review. European Journal of Operational Research, 259(3), 801–817.
Sculley, D. (2008). Rank aggregation for similar items. In Proceedings of the 2007 SIAM international conference on data mining.
Slater, P. (1961). Inconsistencies in a schedule of paired comparisons. Biometrika, 48, 303–312.
Tromble, R., & Eisner, J. (2009). Learning linear ordering problems for better translation. In Proceedings of the 2009 conference on empirical methods in natural language processing (Vol. 2, pp. 1007–1016). EMNLP.
Tsoukalas, A., Rustem, B., & Pistikopoulos, E. N. (2009). A global optimization algorithm for generalized semi-infinite, continuous minimax with coupled constraints and bi-level problems. Journal of Global Optimization, 44, 235–250.
Young, H. P., & Levenglick, A. (1978). A consistent extension of condorcet’s election principle. SIAM Journal on Applied Mathematics, 35, 285–300.
Zahid, M. A., & Swart, H. (2015). The borda majority count. Information Sciences, 295, 429–440.
Acknowledgements
The authors thank the financial support from the Spanish Ministry for Economy and Competitiveness (Ministerio de Economía, Industria y Competitividad), the State Research Agency (Agencia Estatal de Investigación) and the European Regional Development Fund (Fondo Europeo de Desarrollo Regional) under Grants MTM2016-79765-P (AEI/FEDER, UE) and PGC2018-099428-B-100. We would also like to thank an anonymous referee and the corresponding associate editor for providing constructive comments and help.
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Aparicio, J., Landete, M. & Monge, J.F. A linear ordering problem of sets. Ann Oper Res 288, 45–64 (2020). https://doi.org/10.1007/s10479-019-03473-y
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10479-019-03473-y