Predicting child alimony under Islamic shariah law using hybrid fuzzy inference system

Predicting child alimony under Islamic shariah law using hybrid fuzzy inference system

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This paper proposes a novel approach to predicting child alimony under Islamic shariah law using a hybrid fuzzy inference system, integrating Mamdani and Takagi-Sugeno-Kang (TSK) fuzzy systems. Machine learning algorithms have become valuable tools for legal decision-making, but judicial process del...

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Bibliographic Details
Main Authors: Rosili, Nur Aqilah Khadijah, Hassan, Rohayanti, Zakaria, Noor Hidayah, Che Rose, Farid Zamani, Kasim, Shahreen, Tole Sutikno, Tole Sutikno
Format: Article
Language:English
Published: Institute of Advanced Engineering and Science 2024
Subjects:
T58.5-58.64 Information technology
Online Access:http://eprints.utm.my/108985/1/NurAqilahKhadijahRosili2024_PredictingChildAlimonyUnderIslamicShariahLaw.pdf

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