학술논문

Analysis of Artificial Intelligence based Credit and Savings Associations for Investment decisions financial System
Document Type
Conference
Source
2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS) Automation, Computing and Renewable Systems (ICACRS), 2023 2nd International Conference on. :1258-1261 Dec, 2023
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Industries
Computational modeling
Soft sensors
Banking
Behavioral sciences
Artificial intelligence
Resilience
Artificial Intelligence
Finance
Savings
Rotating savings and credit association
Language
Abstract
This research study analyzes the effectiveness of two ROSCA modifications that have the potential to improve community resilience using computational tools and dynamical systems modeling. In order to lessen the impact of people quitting the association, first suggest an approach that sets aside a portion of each member’s contributions to the ROSCA. Then investigate the effects of this strategy on people’s financial well-being and interpersonal trust in the community. This research offers a fresh perspective on how to comprehend the risk-taking behavior of bankers. Expand on earlier research that indicates using artificial intelligence algorithms is a useful way to get this knowledge. The strategy makes use of a special decision-making model and behavioral finance.