Because it is a more compact and computationally efficient representation than a Mamdani system, the Sugeno system lends itself to the use of adaptive techniques for constructing fuzzy models. These adaptive techniques can be used to customize the membership functions so that the fuzzy system best models the data.
You can use the MATLAB® command-line function
convert a Mamdani system into a Sugeno system (not necessarily with
a single output) with constant output membership functions. It uses
the centroid associated with all of the output membership functions
of the Mamdani system.
The following are some final considerations about the two different methods.
It is computationally efficient.
It works well with linear techniques (e.g., PID control).
It works well with optimization and adaptive techniques.
It has guaranteed continuity of the output surface.
It is well suited to mathematical analysis.
It is intuitive.
It has widespread acceptance.
It is well suited to human input.