Enhancing project completion date prediction using a hybrid model: rule-based algorithm and machine learning algorithm

The necessity for this research arises due to the pressing need to create reliable early indicators to accurately project the completion dates, i.e., First Gas Date (FGD) and First Oil Date (FOD), of Malaysia's upstream oil and gas industry. The central purpose of this research is to significan...

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Bibliographic Details

Main Authors:	Abd Rahman, Mohd Shahrizan, Jamaludin, Nor Azliana Akmal, Zainol, Zuraini, Tengku Sembok, Tengku Mohd
Format:	Article
Language:	en
Published:	International Journal on Advanced Science Engineering Information Technology 2025
Subjects:	QA76 Computer software
Online Access:	http://irep.iium.edu.my/123299/3/123299_Enhancing%20Project%20Completion%20Date.pdf http://irep.iium.edu.my/123299/ https://www.scimagojr.com/journalsearch.php?q=21100463068&tip=sid
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