A systematic literature review of an advisory system

• Main Authors: Ain Nadhira, Mohd Taib, Fauziah, Zainuddin, Rahmah, Mokhtar, Kamalia Azma, Kamaruddin, Nadzirah, Ahmad Basri
• Format: Article
• Language: English; English
• Published: University of Bahrain 2024
• Subjects: QA75 Electronic computers. Computer science; QA76 Computer software; T Technology (General); TA Engineering (General). Civil engineering (General)
• Online Access: http://umpir.ump.edu.my/id/eprint/41291/1/A%20Systematic%20Literature%20Review%20of%20an%20Advisory%20System.pdf; http://umpir.ump.edu.my/id/eprint/41291/2/A%20systematic%20literature%20review%20of%20an%20advisory%20system_ABS.pdf; http://umpir.ump.edu.my/id/eprint/41291/; https://doi.org/10.12785/ijcds/150161; https://doi.org/10.12785/ijcds/150161

The growth of Artificial Intelligence (AI) driven technologies has been proposed as a means to improve the standard of people’s lives. The advent of the advisory system has manifested itself as a significant element in Artificial Intelligence, effectively helping people in various fields. This resea...