DOI: 10.14704/nq.2018.16.5.1293

Investment Behavior of Board Group Decision-making Based on Event-related Potential

Xiquan Wang


With the development of society, group decision-making plays a more and more important role. As an important part of decision-making field, group decision-making has obvious advantages in fairness, scientificalness and rationality compared with individual decision-making. At the same time, the final result of group decision-making is a result from negotiation with each member of the group participated in. Based on this, this paper studies the behavior of board group decision-making investment through electroencephalogram (EEG) experiment, simulates the process of board group decision-making investment behavior, and provides theoretical guidance for the generation of enterprise investment strategy.


Event-related Potential, Group Decision-making, Investment Behavior, EEG Experiment

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Franco P, Värri A. Experiments of the sonification of the sleep electroencephalogram. Finnish Journal of eHealth and eWelfare 2015; 7(2-3): 65-74.

Hashemi SS, Hajiagha SH, Zavadskas EK, Mahdiraji HA. Multicriteria group decision making with ELECTRE III method based on interval-valued intuitionistic fuzzy information. Applied Mathematical Modelling 2016; 40(2): 1554-64.

Hırasawa M, Yamamoto M, Kawano K, Furukawa A, Yasuda N. An experiment on extrasensory information transfer with electroencephalogram measurement (part II). Journal of International Society of Life Information Science 1996;14(2): 185-95.

Inkaew N, Charoenkitkamjorn N, Yangpaiboon C. Frequency component analysis of eeg recording on various visual tasks: Steady-state visual evoked potential experiment International Conference on Knowledge and Smart Technology. IEEE 2015: 180-83.

Jeffrey SA, Lévesque M, Maxwell AL. The non-compensatory relationship between risk and return in business angel investment decision making. Venture Capital 2016; 18(3): 189-209.

Tang X, Yu K, Liu W, Gao T, Xu Y, Zeng Y, Peng Y. The set partitioning in hierarchical trees algorithm for data compression in ambulatory electroencephalogram systems. Journal of Medical Imaging and Health Informatics 2016; 6(2): 494-98.

Teixeira C, Cardoso A, Gomes M P C. An alternative methodology for the estimation of frequency changes in electroencephalogram signals International Conference. IEEE 2016: 302-305.

Xian S, Dong Y, Yin Y. Interval-valued intuitionistic fuzzy combined weighted averaging operator for group decision making. Journal of the Operational Research Society 2017; 68(8): 895-905.

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