Preference Modeling in MCDM/A

Adiel Teixeira de Almeida (), Eduarda Asfora Frej (), Lucia Reis Peixoto Roselli (), Jônatas Araújo de Almeida (), Ana Paula Cabral Seixas Costa () and Danielle Costa Morais ()
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Adiel Teixeira de Almeida: Federal University of Pernambuco
Eduarda Asfora Frej: Federal University of Pernambuco
Lucia Reis Peixoto Roselli: Federal University of Pernambuco
Jônatas Araújo de Almeida: Federal University of Pernambuco
Ana Paula Cabral Seixas Costa: Federal University of Pernambuco
Danielle Costa Morais: Federal University of Pernambuco

Chapter 2 in Multi-Criteria Decision Making with Partial Preference Information, 2026, pp 29-46 from Springer

Abstract: Abstract Preference modeling plays a key role in MCDM/A, when considering the use of the DM’s preferences in the decision model. It is the basic process for obtaining preference information from a DM, in a preference-driven decision process. This preference information in general is processed in order to obtain parameters of the decision model, for instance: the criteria weights. The two basic paradigms are presented: elicitation by decomposition and holistic evaluation. The former is related to the consequences space in the decision context, and the latter is associated with the action space. In decomposition elicitation, three procedures are presented: the classical tradeoff elicitation procedure, the swing procedure, and the ratio procedure. Holistic evaluation may be applied for inferring parameters of the decision model. Most methods are based on only one of these two paradigms. Few methods use both paradigms. For instance, the FITradeoff method combines and integrates both paradigms.

Keywords: Preference modeling paradigms; Elicitation by decomposition; Holistic evaluation; Consequence space; Tradeoff procedure; Swing procedure (search for similar items in EconPapers)
Date: 2026
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DOI: 10.1007/978-3-032-19284-4_2

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