Hybrid fuzzy-genetic algorithm to automated discovery of prediction rules
Ibrahim A. Fadel, Hussein AL-SANABANİ, Cemil Öz, Tariq Kamal, Murat İskefiyeli, Fawzia Abdien · Journal of Intelligent & Fuzzy Systems · 2020
Genetic algorithm is one of data mining classification techniques and it has been applied successfully in a wide range of applications. However, the performance of Genetic algorithm fluctuates significantly. This research work combines Genetic algorithm with fuzzy logic to adapt dynamically crossover and mutation parameters of Genetic algorithm. Two different datasets are taken during the experiment. Several experiments have been performed to prove the effectiveness of the proposed algorithm. Results show that the rules generated from a proposed algorithm are significantly better with high fitness and more efficient as compared to a normal Genetic algorithm.