A fuzzy model with exponential partition for approximating SISO nonlinear functions

This paper proposes a fuzzy model with exponential partition to approximate a single input-single output nonlinear function. Given the trajectory of training data will determine the input space partition, rules' number, and the type of fuzzy sets in antecedent and consequent. An example will be given to illustrate the modeling algorithm. It will be seen that the algorithm is simple and efficient for the approximation work.