NeuroIS to Improve the FITradeoff Decision-Making Process and Decision Support System

被引：1

作者：

de Almeida, Adiel Teixeira ^{[1
]}

Peixoto Roselli, Lucia Reis ^{[1
]}

机构：

[1] Univ Fed Pernambuco, Ctr Decis Syst & Informat Dev CDSID, Recife, PE, Brazil

来源：

INFORMATION SYSTEMS AND NEUROSCIENCE, NEUROIS RETREAT 2020 | 2020年 / 43卷

关键词：

NeuroIS; Decision Neuroscience; Alpha-Theta Diagram; FITradoff method; Electroencephalogram; Multi-Criteria Decision Making/Aiding (MCDM/A); PARTIAL INFORMATION; RANKING ALTERNATIVES; DATA VISUALIZATION; ELICITATION; SELECTION; WEIGHTS; MODELS; ALPHA; THETA;

D O I：

10.1007/978-3-030-60073-0_13

中图分类号：

B84 [心理学];

学科分类号：

04 ; 0402 ;

摘要：

NeuroIS approach is used in this research in order to improve the decision-making process and the Decision Support System (DSS), which is a particular kind of information system, for the FITradeoff method. In this research the decision-makers (DMs) behavior is investigated when they are solving Multi-Criteria Decision Making/Aiding problems, considering the holistic evaluation process. In this research, neuroscience experiments were constructed to investigate the holistic evaluation process using graphical and tabular visualizations. These experiments were applied to more than 150 management engineering students. As a result, using an electroencephalogram, the Alpha-Theta Diagram has been proposed, which is a new concept to classify the DMs patterns of behavior, considering Theta (4-8 Hz) and Alpha (8-13 Hz) activities. Based on this diagram, improvements can be suggested to be included in the FITradeoff DSS specially for problems involved in a ranking order context.

引用

页码：111 / 120

页数：10

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