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Improvements in the FITradeoff Decision Support System for Ranking Order Problematic Based in a Behavioral Study with NeuroIS Tools

In: Information Systems and Neuroscience

Author

Listed:
  • Lucia Reis Peixoto Roselli

    (Universidade Federal de Pernambuco)

  • Adiel Teixeira Almeida

    (Universidade Federal de Pernambuco)

Abstract

This research is performed using NeuroIS tools to improve the information systems (the Decision Support System) constructed for the FITradeoff method. In this study a neuroscience experiment is constructed with the support of an Eye-Tracking in order to investigate the decision-maker (DMs) behavior when they evaluate Multi-Criteria Decision-Making/Aiding (MCDM/A) problems. Therefore, based on the experiment results, a Recommendation Rule is proposed to support the analyst in the advising process performed with the DM and the importance of the holistic evaluation phase for the FITradeoff DSS is highlighted, suggesting that this phase should be included in the DSS constructed for ranking order problematic.

Suggested Citation

  • Lucia Reis Peixoto Roselli & Adiel Teixeira Almeida, 2020. "Improvements in the FITradeoff Decision Support System for Ranking Order Problematic Based in a Behavioral Study with NeuroIS Tools," Lecture Notes in Information Systems and Organization, in: Fred D. Davis & René Riedl & Jan vom Brocke & Pierre-Majorique Léger & Adriane B. Randolph & Thomas (ed.), Information Systems and Neuroscience, pages 121-132, Springer.
    • Handle: RePEc:spr:lnichp:978-3-030-60073-0_14
    DOI: 10.1007/978-3-030-60073-0_14
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    Cited by:

    1. 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.

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