Thông tin tài liệu
Nhan đề : |
Unveiling the impact of managerial traits on investor decision prediction: ANFIS approach |
Tác giả : |
Asefeh, Asemi Adeleh, Asemi Andrea, Ko |
Năm xuất bản : |
2023 |
Nhà xuất bản : |
Springer |
Tóm tắt : |
Investment decisions are influenced by various factors, including personal characteristics and managerial issues. In this research, we aimed to investigate the impact of managerial traits on investment decisions by using adaptive neuro-fuzzy inference system (ANFIS) to develop a personalized investment recommendation system. We collected data from potential investors through a survey, which included questions on investment-types, investment habits, and managerial traits. The survey data were used to create an ANFIS model, which is a hybrid model that combines the strengths of both artificial neural networks and fuzzy logic systems. The ANFIS model was trained using 1542 survey data pairs, and the model's performance was evaluated using a validation set. The results of the ANFIS model showed that the model had a minimal training root mean square error of 0.837341. The ANFIS model was able to effectively capture the relationship between managerial traits and investment decisions and was able to make personalized investment recommendations based on the input data. |
Mô tả: |
CC BY |
URI: |
https://link.springer.com/article/10.1007/s00500-023-08102-2 https://dlib.phenikaa-uni.edu.vn/handle/PNK/8070 |
Bộ sưu tập |
OER - Kỹ thuật điện; Điện tử - Viễn thông |
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