A Critical Review on Selected Fuzzy Min-Max Neural Networks and Their Significance and Challenges in Pattern Classification

• Main Authors: Alhroob, Essam, Mohammed, Mohammed Falah, Lim, Chee Peng, Tao, Hai
• Format: Article
• Language: English
• Published: IEEE 2019
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://umpir.ump.edu.my/id/eprint/25102/1/A%20Critical%20Review%20on%20Selected%20Fuzzy%20Min-Max.pdf; http://umpir.ump.edu.my/id/eprint/25102/; https://doi.org/10.1109/ACCESS.2019.2911955; https://doi.org/10.1109/ACCESS.2019.2911955

At present, pattern classification is one of the most important aspects of establishing machine intelligence systems for tackling decision-making processes. The fuzzy min-max (FMM) neural network combines the operations of an artificial neural network and fuzzy set theory into a common framework. FM...