Fuzzy Unordered Rule Using Greedy Hill Climbing Feature Selection Method: An Application to Diabetes Classification

• Main Authors: Al-Behadili, Hayder Naser Khraibet, Ku-Mahamud, Ku Ruhana
• Format: Article
• Language: English
• Published: Universiti Utara Malaysia Press 2021
• Subjects: QA75 Electronic computers. Computer science
• Online Access: https://repo.uum.edu.my/id/eprint/28780/1/JICT%2020%2003%202021%20391-422.pdf; https://doi.org/10.32890/jict2021.20.3.5; https://repo.uum.edu.my/id/eprint/28780/; https://e-journal.uum.edu.my/index.php/jict/article/view/14385; https://doi.org/10.32890/jict2021.20.3.5

Diabetes classification is one of the most crucial applications of healthcare diagnosis. Even though various studies have been conducted in this application, the classification problem remains challenging. Fuzzy logic techniques have recently obtained impressive achievements in different application...