2026-04-14T19:46:28Zhttps://uvadoc.uva.es/oai/request

oai:uvadoc.uva.es:10324/794522025-11-07T20:00:45Zcom_10324_32197com_10324_952com_10324_894com_10324_1146com_10324_931col_10324_32199col_10324_1262

Martínez Panero, Miguel García Lapresta, José Luis 2025-11-07T13:22:28Z 2025-11-07T13:22:28Z 2025 European Journal of Operational Research, 2025. 0377-2217 https://uvadoc.uva.es/handle/10324/79452 10.1016/j.ejor.2025.10.030 European Journal of Operational Research Producción Científica There is only one way to assign positions to objects arranged in linear orders: following the sequence of natural numbers (1, 2, 3, 4, …). However, in weak orders, where ties arise, there are different possibilities to assign positions to tied objects. In this paper, we focus mainly on three relevant cases: the standard, modified, and fractional ranks. They are differentiated by the spaces that appear after, before, or on either side of the position values corresponding to the objects that are in a tie. For instance, if two objects are tied and are located immedi- ately below the top object, these ranks assign the positions (1, 2, 2, 4, …), (1, 3, 3, 4, …), and (1, 2.5, 2.5, 4, …), respectively. Collectively, and because of the common properties shown here, we call them “competition ranks”. In this paper, we characterize a parameterized family of position operators which includes the competition ranks. We also provide specific axiomatizations of each of them, taking into account the spaces in the sequence of as- signed position numbers. It is shown why the dense rank (1, 2, 2, 3, …), another position operator where gaps do not appear, is an essentially different approach. Furthermore, interesting duality relationships are revealed between the competition ranks and between the properties introduced to characterize them, which allow us to understand their internal logic and connections. Different examples, mainly from sports, bibliometrics, etc., illustrate the introduced concepts Ministerio de Ciencia, Innovación y Universidades - MICIU/AEI/10.13039/501100011033 y FEDER (UE) ( project PID2021-122506NB-I00) application/pdf eng Elsevier info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc/4.0/ © 2025 The Author(s) Atribución-NoComercial 4.0 Internacional Preference learning Linear orders Weak orders Positions Ranks 12 Matemáticas Characterizing competition ranks within a comprehensive family of position operators info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion https://www.sciencedirect.com/science/article/pii/S0377221725008501 SI