A general model for dealing with ranking voting systems
Bonifacio Llamazares
European Journal of Operational Research, 2026, vol. 329, issue 3, 1004-1014
Abstract:
A key problem in decision-making is selecting a winning candidate or establishing a global ranking for a set of candidates when individuals’ preferences are expressed through linear orders. Scoring rules are a specific case of positional voting systems (PVSs) that are widely used in sports competitions. Likewise, some scoring rules, such as the Borda rule and plurality, have also been extensively analyzed in the field of social choice. However, the choice of the scoring vector may significantly influence the results, leading to the development of models that avoid subjective vector selection. In this paper, we introduce a general model that encompasses some previous proposals present in the literature. Our model does not have an important deficiency that some other models do, such as the fact that the relative order between two candidates may change even if there is no variation in the positions obtained by those candidates. We give an explicit formula for calculating candidate scores, enabling direct determination of winners or rankings without solving the model for each candidate, and we also analyze the fulfillment of some well-known properties. Likewise, through theoretical analysis and examples, we identify and rule out specific PVSs that may yield questionable outcomes.
Keywords: Decision support systems; Ranking voting systems; Positional voting systems; Uncertain weights; Surrogate weights; Dominated winner paradox; Absolute winner paradox (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0377221725005867
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:329:y:2026:i:3:p:1004-1014
DOI: 10.1016/j.ejor.2025.07.061
Access Statistics for this article
European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati
More articles in European Journal of Operational Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().