Dynamic-R: A New “Convincing” Multiple Criteria Method for Rating Problem Statements
Raboun, Oussama; Chojnacki, Eric; Tsoukiàs, Alexis (2019), Dynamic-R: A New “Convincing” Multiple Criteria Method for Rating Problem Statements, in Sérgio Abreu Freitas, Paulo; Dargam, Fatima; Moreno, José Maria, Decision Support Systems IX: Main Developments and Future Trends, Springer, p. 136-149. 10.1007/978-3-030-18819-1_11
TypeCommunication / Conférence
Conference title5th International Conference on Decision Support System Technology, EmC-ICDSST
Conference cityFunchal, Madeira
Book titleDecision Support Systems IX: Main Developments and Future Trends
Book authorSérgio Abreu Freitas, Paulo; Dargam, Fatima; Moreno, José Maria
Number of pages151
MetadataShow full item record
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
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.
Subjects / KeywordsMulticriteria decision aiding; Rating problem statements; Decision support systems; Algorithmic decision theory
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