A fuzzy model with exponential partition for approximating SISO nonlinear functions
You-Wei Teng, Wen-June Wang, Pei‐Jun Lee · 2002
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 is given to illustrate the modeling algorithm. It can be seen that the algorithm is simple and efficient for the approximation work.