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Dynamic-R: A New “Convincing” Multiple Criteria Method for Rating Problem Statements

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Date
2019
Dewey
Recherche opérationnelle
Sujet
Multicriteria decision aiding; Rating problem statements; Decision support systems; Algorithmic decision theory
DOI
http://dx.doi.org/10.1007/978-3-030-18819-1_11
Conference name
5th International Conference on Decision Support System Technology, EmC-ICDSST
Conference date
05-2019
Conference city
Funchal, Madeira
Conference country
Portugal
Book title
Decision Support Systems IX: Main Developments and Future Trends
Author
Sérgio Abreu Freitas, Paulo; Dargam, Fatima; Moreno, José Maria
Publisher
Springer
Pages number
151
ISBN
978-3-030-18819-1
Book URL
10.1007/978-3-030-18819-1
URI
https://basepub.dauphine.fr/handle/123456789/21081
Collections
  • LAMSADE : Publications
Metadata
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Author
Raboun, Oussama
Chojnacki, Eric
Tsoukiàs, Alexis
989 Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Type
Communication / Conférence
Item number of pages
136-149
Abstract (EN)
In this paper, we propose Dynamic-R method, a new decision aiding procedure to deal with multicriteria rating problems. A multicriteria rating problem consists on partitioning a set of objects, assessed under several dimensions called criteria, into predefined ordered equivalence classes, called categories, identified by rates. Several rating methods were developed using the majority rule. These methods present many disadvantages leading potentially to an unconvincing rating. In this work, we introduce a dynamic rating procedure aiming at providing a “convincing” rating (stable under criticisms) over a set of studied objects. It is called dynamic, since rated objects will be used to characterize the categories in the next steps. The developed rating procedure is based on the aggregation of positive and negative reasons respectively supporting and opposing to a rating.

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