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A systematic literature review of an advisory system

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...

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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
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id my.ump.umpir.41291
record_format eprints
spelling my.ump.umpir.412912024-07-01T01:05:34Z http://umpir.ump.edu.my/id/eprint/41291/ A systematic literature review of an advisory system Ain Nadhira, Mohd Taib Fauziah, Zainuddin Rahmah, Mokhtar Kamalia Azma, Kamaruddin Nadzirah, Ahmad Basri QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) 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 research presents a systematic literature review of an advisory system. This research initially presents 472 articles by examining the literature between 2015 and 2023. After a meticulous review process, the studies were filtered down to 67 articles for full analysis. This review provides significant contributions to the exploration of advisory systems, specifically in the existing framework of advisory systems, the techniques applied in advisory systems, the domain in which the Artificial Intelligence technique is being applied in the advisory system, and the validation technique used in validating the advisory system. Ultimately, this review contributes to a deeper understanding of an advisory system’s role in Artificial Intelligence and in various domains for optimising an advisory system application. University of Bahrain 2024 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/41291/1/A%20Systematic%20Literature%20Review%20of%20an%20Advisory%20System.pdf pdf en http://umpir.ump.edu.my/id/eprint/41291/2/A%20systematic%20literature%20review%20of%20an%20advisory%20system_ABS.pdf Ain Nadhira, Mohd Taib and Fauziah, Zainuddin and Rahmah, Mokhtar and Kamalia Azma, Kamaruddin and Nadzirah, Ahmad Basri (2024) A systematic literature review of an advisory system. International Journal of Computing and Digital Systems, 15 (1). pp. 855-864. ISSN 2210-142X. (Published) https://doi.org/10.12785/ijcds/150161 https://doi.org/10.12785/ijcds/150161
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
TA Engineering (General). Civil engineering (General)
spellingShingle QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
TA Engineering (General). Civil engineering (General)
Ain Nadhira, Mohd Taib
Fauziah, Zainuddin
Rahmah, Mokhtar
Kamalia Azma, Kamaruddin
Nadzirah, Ahmad Basri
A systematic literature review of an advisory system
description 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 research presents a systematic literature review of an advisory system. This research initially presents 472 articles by examining the literature between 2015 and 2023. After a meticulous review process, the studies were filtered down to 67 articles for full analysis. This review provides significant contributions to the exploration of advisory systems, specifically in the existing framework of advisory systems, the techniques applied in advisory systems, the domain in which the Artificial Intelligence technique is being applied in the advisory system, and the validation technique used in validating the advisory system. Ultimately, this review contributes to a deeper understanding of an advisory system’s role in Artificial Intelligence and in various domains for optimising an advisory system application.
format Article
author Ain Nadhira, Mohd Taib
Fauziah, Zainuddin
Rahmah, Mokhtar
Kamalia Azma, Kamaruddin
Nadzirah, Ahmad Basri
author_facet Ain Nadhira, Mohd Taib
Fauziah, Zainuddin
Rahmah, Mokhtar
Kamalia Azma, Kamaruddin
Nadzirah, Ahmad Basri
author_sort Ain Nadhira, Mohd Taib
title A systematic literature review of an advisory system
title_short A systematic literature review of an advisory system
title_full A systematic literature review of an advisory system
title_fullStr A systematic literature review of an advisory system
title_full_unstemmed A systematic literature review of an advisory system
title_sort systematic literature review of an advisory system
publisher University of Bahrain
publishDate 2024
url 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
_version_ 1822924423494107136
score 13.244413

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