In classical set theory, there are two options for an element. It is either a member of a set or not. But in fuzzy set theory, there are membership functions to define the "rate" of an element being a member of a set. In other words, classical logic says it is all black or white, but fuzzy logic offers that there is also grey which has shades between white and black.
Matlab Simulink Library is very easy to design and helpful in practice. And it has good examples on its own, like deciding about tips for a dinner looking at service and food quality. In the figure below, some various membership functions from Matlab's library are shown:
My question: How do we decide which membership function to use while designing a fuzzy controller system?
I mean, in general, not only in Matlab Simulink. I have seen Triangular and Gaussian functions are used mostly in practice, but how can we decide which function will give a better result for decision making? Do we need to train a neural network to decide which function is better depending on the problem and its rules? What are other solutions?