Decision Neuroscience Studies for Preference Modeling

Adiel Teixeira de Almeida (), Eduarda Asfora Frej (), Lucia Reis Peixoto Roselli (), Jônatas Araújo de Almeida (), Ana Paula Cabral Seixas Costa () and Danielle Costa Morais ()
Additional contact information
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 26 in Multi-Criteria Decision Making with Partial Preference Information, 2026, pp 521-544 from Springer

Abstract: Abstract Neuroscience is a multidisciplinary area that can be integrated with several areas of knowledge to promote a greater understanding of the human brain. In Multi-Criteria Decision Making/Aiding (MCDM/A), a gap is observed in the literature concerning using this approach to investigate and improve methods and systems. In order to narrow this gap, several studies have been undertaken to investigate how decision makers interact with MCDM/A methods in general, using the concepts and methods of the Decision Neuroscience subarea, focusing on value-based decision making and its connection with preference modeling. Also, the FITradeoff method and its Decision Support System (DSS) has also been investigated. Experiments have been constructed supported by neuroscience tools, such as Electroencephalogram and Eye-tracking. This chapter describes the experiments conducted to investigate the two paradigms for preference modeling—holistic evaluation and elicitation by decomposition. The main contribution is to show that making use of these neuroscience tools leads to several improvements that may be applied in MCDM/A methods and for the FITradeoff method and its DSS.

Date: 2026
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-3-032-19284-4_26

Ordering information: This item can be ordered from
http://www.springer.com/9783032192844

DOI: 10.1007/978-3-032-19284-4_26

Access Statistics for this chapter

More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().