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

• Main Authors: Rosili, Nur Aqilah Khadijah, Hassan, Rohayanti, Zakaria, Noor Hidayah, Che Rose, Farid Zamani, Kasim, Shahreen, Sutikno, Tole
• Format: Article
• Language: English
• Published: Institute of Advanced Engineering and Science 2024
• Online Access: http://psasir.upm.edu.my/id/eprint/111511/1/27807-74310-1-PB.pdf; http://psasir.upm.edu.my/id/eprint/111511/; https://ijeecs.iaescore.com/index.php/IJEECS/article/view/27807

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...