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

• Main Authors: Rosili, Nur Aqilah Khadijah, Hassan, Rohayanti, Zakaria, Noor Hidayah, Farid Zamani, Che Rose, Kasim, Shahreen, Sutikno, Tole
• Format: Article
• Language: English
• Published: 2024
• Subjects: K Law (General); QA76 Computer software
• Online Access: http://eprints.uthm.edu.my/12472/1/J17964_341e3d5e16311bfebc0b5aff45e2eb17.pdf; http://eprints.uthm.edu.my/12472/; https://doi.org/10.11591/ijeecs.v34.i2
• Institution: Universiti Tun Hussein Onn Malaysia

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...