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Assigning alternatives to the good or bad category based on several limit profiles
Bouyssou, D.; Marchant, T.; Pirlot, Marc
201925th International Conference on Multiple Criteria Decision Making
 

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Abstract :
[en] Recently, Fernandez et al. (EJOR 2017) have proposed a method for sorting alternatives into ordered categories based on several criteria. This model known as ELECTRE Tri-nB is a variant of ELECTRE Tri. Instead of using a single limit profile to determine whether an alternative reaches at least a certain quality level, it uses several. In this work, we consider a simplified version of ELECTRE TrinB, which lends itself to an axiomatic characterization. Dropping some pecularities of the underlying model, as originally presented, while keeping its essence permits to shed light on the main features of the model and to analyze its properties. More specifically, we characterize the assignments to ordered categories that can be described by the simplified model. This is done in the spirit of previous work by the present authors, in particular the characterization of outranking relations and the noncompensatory sorting (NCS) model (EJOR 2007). In this talk, we shall: - give a flavor of the axioms used to characterize the model; - analyze the model complexity in terms of the number of profiles needed to separate two ordered categories; - tackle algorithmic issues such as checking whether a given ordered partition can be represented in the model and, eventually, eliciting the model's parameters.
Research center :
CRTI - Centre de Recherche en Technologie de l'Information
Disciplines :
Computer science
Mathematics
Author, co-author :
Bouyssou, D.
Marchant, T.
Pirlot, Marc  
Language :
English
Title :
Assigning alternatives to the good or bad category based on several limit profiles
Publication date :
19 June 2019
Event name :
25th International Conference on Multiple Criteria Decision Making
Event place :
Istanbul, Turkey
Event date :
2019
Research unit :
F151 - Mathématique et Recherche opérationnelle
Research institute :
R300 - Institut de Recherche en Technologies de l'Information et Sciences de l'Informatique
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since 22 January 2020

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