“…A comprehensive review illustrating the application of various non-linear optimization schemes to the optimization of FLC can be found in Pratihar and Hui (2007). Some of the representative algorithms used by researchers are Least square method (Song & Smith, 2000), Genetic-Fuzzy approach (Cardenas, Aguilar, & Rodriguez, 2009;MartÃ-nez, Castillo, & Aguilar, 2009) Gradient descent approach (Rajasekaran & Vijayalakshami, 2003), Ant Colony optimization (Juang, Lu, Lo, & Wang, 2008), Reinforcement Learning (Berenji, 1992), Tabu Search (Pothiya, Ngamroo, & Kongprawechnon, 2007), Taguchi Method (Chien et al, 2008), and Simulated Annealing (Martinez-Alfaro & Gomez-Garcia, 1998;Han, Jeong, & Park, 2005) optimization algorithm. Though all these algorithms have been successfully implemented in a variety of applications, gradient descent approach and GA-Fuzzy method are more frequently used by researchers since they provide better accuracies.…”