Fuzzy Logic Toolbox
Conclusion
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.
Note The MATLAB command-line function mam2sug can be used to 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.
See "Function Reference" for details.
Here are some final considerations about the two different methods:
Advantages of the Sugeno Method
It's 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's well-suited to mathematical analysis.
Advantages of the Mamdani Method
It's intuitive.
It has widespread acceptance.
It's well-suited to human input.
An Example: Two Lines ANFIS and the ANFIS Editor GUI