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Decision neuroscience for improving data visualization of decision support in the FITradeoff method

Author

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  • Lucia Reis Peixoto Roselli

    (Federal University of Pernambuco – UFPE)

  • Adiel Teixeira Almeida

    (Federal University of Pernambuco – UFPE)

  • Eduarda Asfora Frej

    (Federal University of Pernambuco – UFPE)

Abstract

Multi-criteria decision making/aiding problems are very common in everyday life in society. Nevertheless, some difficulties appear when such problems arise and visualization may facilitate this process. Neuroscience deals with the study of the neural system and has had increasing relevance for several areas of knowledge, including multi-criteria decision making/aiding, as it adds to the understanding of human behavior and the decision process. Using neuroscience tools to aid improving data visualization is becoming increasingly relevant, since this is an important issue for decision-making. Therefore, this study seeks to use neuroscience in order to investigate how decision makers evaluate the graphical visualization in FITradeoff method. In this context, a neuroscience experiment using eye-tracking was developed, the main purpose of which was to improve the FITradeoff decision support system and, moreover, to provide information for the analyst about the application of graphical visualization in multi-criteria decision making/aiding problems. The experiment was applied using graduate and postgraduate management engineering students. This paper presents the main results obtained from the experiments, and also an analysis of these results.

Suggested Citation

  • Lucia Reis Peixoto Roselli & Adiel Teixeira Almeida & Eduarda Asfora Frej, 2019. "Decision neuroscience for improving data visualization of decision support in the FITradeoff method," Operational Research, Springer, vol. 19(4), pages 933-953, December.
  • Handle: RePEc:spr:operea:v:19:y:2019:i:4:d:10.1007_s12351-018-00445-1
    DOI: 10.1007/s12351-018-00445-1
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    References listed on IDEAS

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    1. de Almeida, Jonatas Araujo & Costa, Ana Paula Cabral Seixas & de Almeida-Filho, Adiel Teixeira, 2016. "A new method for elicitation of criteria weights in additive models: Flexible and interactive tradeoffAuthor-Name: de Almeida, Adiel Teixeira," European Journal of Operational Research, Elsevier, vol. 250(1), pages 179-191.
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    Cited by:

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    2. Madson Bruno da Silva Monte & Danielle Costa Morais, 2019. "A Decision Model for Identifying and Solving Problems in an Urban Water Supply System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(14), pages 4835-4848, November.
    3. Wesley Douglas Oliveira Silva & Danielle Costa Morais & Marcella Maia Urtiga, 2022. "An integrative negotiation model to deal with conflicts toward water resources management: a case study in Brazil," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(8), pages 10443-10469, August.
    4. Lucas Miguel Alencar Correia & Jonhatan Magno Norte Silva & Wilza Karla Leite & Ruan Eduardo Carneiro Lucas & Geraldo Alves Colaço, 2022. "A multicriteria decision model to rank workstations in a footwear industry based on a FITradeoff-ranking method for ergonomics interventions," Operational Research, Springer, vol. 22(4), pages 3335-3371, September.
    5. Marques, Adriana Cavalcante & Frej, Eduarda Asfora & de Almeida, Adiel Teixeira, 2022. "Multicriteria decision support for project portfolio selection with the FITradeoff method," Omega, Elsevier, vol. 111(C).
    6. Lucia Reis Peixoto Roselli & Adiel Teixeira Almeida, 2022. "Use of the Alpha-Theta Diagram as a decision neuroscience tool for analyzing holistic evaluation in decision making," Annals of Operations Research, Springer, vol. 312(2), pages 1197-1219, May.
    7. Anderson Lucas Carneiro de Lima da Silva & Ana Paula Cabral Seixas Costa & Adiel Teixeira de Almeida, 2022. "Exploring cognitive aspects of FITradeoff method using neuroscience tools," Annals of Operations Research, Springer, vol. 312(2), pages 1147-1169, May.

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