Inferring the parameters of a majority rule sorting model with vetoes on large datasets - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2014

Inferring the parameters of a majority rule sorting model with vetoes on large datasets

Résumé

The article is centered on the problem of inferring the parameters of a majority rule sorting model when large sets of assignment examples are considered. Beside the proposal of an approach for solving this problem, the main focus of the paper lies in the inclusion of veto thresholds inside the majority rule model, which, as we illustrate, increases the expressiveness of the model. However, due to its complexity, an exact approach for inferring its parameters is not practical especially when large datasets are considered. Therefore, we propose a metaheuristic approach to overcome this difficulty. The approach is validated over a set of constructed benchmarks as well as on several datasets containing real data.
Fichier non déposé

Dates et versions

hal-01185093 , version 1 (19-08-2015)

Identifiants

  • HAL Id : hal-01185093 , version 1

Citer

Alexandru Liviu Olteanu, Patrick Meyer. Inferring the parameters of a majority rule sorting model with vetoes on large datasets. DA2PL 2014 : From Multicriteria Decision Aid to Preference Learning, Nov 2014, Paris, France. pp.87 - 94. ⟨hal-01185093⟩
81 Consultations
0 Téléchargements

Partager

Gmail Facebook X LinkedIn More