Part 1 (Mamdani) was here.
Let’s solve the same tipping problem as in the previous post but this time using the Sugeno fuzzy inference method.
In the FLS editor, choose
File –>New FLS –> Takagi-Sugeno
Click the ‘Description’ link and fill out the form (click the picture to enlarge).
The input variables (food and service) and the rules are specified in exactly the same way as for the Mamdani system.
sciFLT can work with either constant or linear Sugeno models.
For a zero-order Sugeno model (constant outputs), the output variable tip can be specified as follows (click to enlarge):
The resulting solution surface is:
Part 3: link
Part 4: link