Data Driven Fuzzy Modeling for Sugeno and Mamdani Type Fuzzy Model using Memetic Algorithm
Savita Wadhawan, Gunjan Goel, Srikant Kaushik · International Journal of Information Technology and Computer Science · 2013
The process of fuzzy modeling or fu zzy model identification is an arduous task.This paper presents the application of Memet ic algorith ms (MAs) for the identification of co mp lete fu zzy model that includes membership function design for input and output variables and ru lebase generation fro m the numerical data set.We have applied the algorith ms on four bench mark data: A rapid Ni-Cd battery charger, the Box & Jenkins"s gas -furnace data, the Iris data classification problem and the wine data classification problem.The co mparison of obtained results from MAs with Genetic algorith ms (GAs) brings out the remarkable efficiency of MAs.The result suggests that for these problems the proposed approach is better than those suggested in the literature.