Because it is a more compact and computationally efficient representation than a Mamdani system, a 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 convert a Mamdani system into a Sugeno system using the
function. The resulting Sugeno system has constant output membership functions that correspond
to the centroids of the Mamdani output membership functions.
Are computationally efficient.
Work well with linear techniques, such as PID control.
Work well with optimization and adaptive techniques.
Guarantee continuity of the output surface.
Well-suited to mathematical analysis.
Have widespread acceptance.
Are well-suited to human input.