O
Olivier Sobrie
Researcher at University of Mons
Publications - 20
Citations - 278
Olivier Sobrie is an academic researcher from University of Mons. The author has contributed to research in topics: Sorting & Majority rule. The author has an hindex of 8, co-authored 17 publications receiving 226 citations. Previous affiliations of Olivier Sobrie include École Centrale Paris & CentraleSupélec.
Papers
More filters
Learning the parameters of a multiple criteria sorting method from large sets of assignment examples
TL;DR: This study considers a sorting method in which categories are defined by profiles separating consecutive categories, that corresponds to a simplified version of ELECTRE Tri, and considers a learning procedure that relies on a set of known assignment examples to find parameters compatible with these assignments.
Book ChapterDOI
Learning a Majority Rule Model from Large Sets of Assignment Examples
TL;DR: A new metaheuristic designed to learn the parameters of an MR-Sort model that works in two phases that are iterated and reports the results of numerical tests, providing insights on the algorithm behavior.
Journal ArticleDOI
Learning monotone preferences using a majority rule sorting model
TL;DR: This work considers the problem of learning a function assigning objects into ordered categories and describes an algorithm designed for learning such a model on the basis of assignment examples, called MR-Sort, which competes with the other two methods, and leads to a model that is interpretable.
Journal ArticleDOI
UTA-poly and UTA-splines: Additive value functions with polynomial marginals
TL;DR: This paper proposes to infer polynomials and splines instead of piecewise linear functions for the marginals by using semidefinite programming instead of linear programming and presents some experimental results.
Book ChapterDOI
Learning the Parameters of a Non Compensatory Sorting Model
TL;DR: A mixed integer program and a heuristic algorithm that enable to learn the parameters of this model from assignment examples that corresponds to the Non-Compensatory Sorting model characterized by Bouyssou and Marchant are described.