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convertToSugeno

Convert Mamdani fuzzy inference system into Sugeno fuzzy inference system

Description

example

sugenoFIS = convertToSugeno(mamdaniFIS) converts the Mamdani fuzzy inference system mamdaniFIS into a Sugeno fuzzy inference system sugenoFIS.

Examples

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Load a Mamdani fuzzy inference system.

mam_fis = readfis('mam22.fis');

Convert this system to a Sugeno fuzzy inference system.

sug_fis = convertToSugeno(mam_fis);

Plot the output surfaces for both fuzzy systems.

subplot(2,2,1)
gensurf(mam_fis)
title('Mamdani system (Output 1)')
subplot(2,2,2)
gensurf(sug_fis)
title('Sugeno system (Output 1)')
subplot(2,2,3)
gensurf(mam_fis,gensurfOptions('OutputIndex',2))
title('Mamdani system (Output 2)')
subplot(2,2,4)
gensurf(sug_fis,gensurfOptions('OutputIndex',2))
title('Sugeno system (Output 2)')

The output surfaces for both systems are similar.

Input Arguments

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Mamdani fuzzy inference system, specified as a mamfis or mamfistype2 object.

mamdaniFIS must not contain rules with NOT logic in the consequent.

Output Arguments

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Sugeno fuzzy inference system, returned as one of the following:

sugenoFIS:

  • Has constant output membership functions, whose values correspond to the centroids of the output membership functions in mamdaniFIS

  • Uses the weighted-average defuzzification method

  • Uses the product implication method

  • Uses the sum aggregation method

The remaining properties of sugenoFIS, including the input membership functions and rule definitions remain unchanged from mamdaniFIS.

Tips

  • If you have a functioning Mamdani fuzzy inference system, consider using convertToSugeno to convert to a more computationally efficient Sugeno structure to improve performance.

Alternative Functionality

App

You can interactively convert a Mamdani FIS into a Sugeno FIS using the Fuzzy Logic Designer app. You can then export the system to the MATLAB® workspace.

Version History

Introduced in R2018b

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