Comparar métodos

	Modelo de Bradley-Terry	Métodos de Agregação de Rankings
Área	Tomada de decisão	Tomada de decisão
Família	Regression model	Machine learning
Ano de origem	1952	2001
Autor original	Ralph Bradley & Milton Terry	Dwork, Kumar, Naor & Sivakumar
Tipo	Probabilistic paired comparison model	Combinatorial ranking method
Fonte seminal	Bradley, R. A., & Terry, M. E. (1952). Rank analysis of incomplete block designs: I. The method of paired comparisons. Biometrika, 39(3/4), 324–345.	Dwork, C., Kumar, R., Naor, M., & Sivakumar, D. (2001). Rank aggregation methods for the web. Proceedings of the 10th International Conference on World Wide Web, 613–622.
Outros nomes	BT Model, Bradley-Terry-Luce Model, Paired Comparison Model, İkili Karşılaştırma Modeli	Rank Fusion, Order Aggregation, Preference Aggregation, Sıralama Birleştirme
Relacionados	3	2
Resumo	The Bradley-Terry model is a probabilistic model for paired comparisons that assigns a latent strength parameter to each item and predicts the probability that one item beats another in a head-to-head contest. Introduced by Ralph A. Bradley and Milton E. Terry in 1952, it provides a principled statistical framework for ranking items from pairwise preference data, including incomplete comparison designs where not every pair is directly observed.	Rank Aggregation is a family of methods that combine multiple ranked lists of alternatives into a single consensus ranking. Formally studied in the context of web search by Dwork, Kumar, Naor, and Sivakumar (2001), these methods address the problem of synthesizing divergent preference orderings from multiple sources — such as search engines, expert judges, or voter ballots — into one coherent, representative ordering that minimizes overall disagreement across the input rankings.