Improving Methods with Behavioral and Decision Neuroscience

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 25 in Multi-Criteria Decision Making with Partial Preference Information, 2026, pp 507-519 from Springer

Abstract: Abstract Behavioral and Neuroscience studies have been conducted to investigate Multi-Criteria Decision Making/Aiding (MCDM/A) methods in order to cover the gap observed in the literature in which few studies use neuroscience tools to investigate Decision Makers (DMs)’ behavior during the interaction with those methods. From these studies several insights have been generated to improve 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. This chapter presents this kind of contribution and shows the main transformations made to the FITradeoff method and its DSS. These transformations occur in three ways: by making methodological transformations in FITradeoff, by developing features to improve the decision process, and by improving the Design of the DSS.

Date: 2026
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DOI: 10.1007/978-3-032-19284-4_25

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