Design methods of general fuzzy systems as function approximators

In this paper, design methods of general fuzzy systems as function approximators are given respectively by the following three different conditions to be approximated: 1. The formulas of the functions are known; 2. The formulas of the functions are unknown, but for any input of the functions, we can get the corresponding output; 3. We only know limit pairs of input-output data of the functions. Finally, an example is given to show how to design a general fuzzy system to approximate a given function by a required accuracy.