Implementation of the truth table for fuzzy control

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Milad
Milad 2024-12-15
回答： Malay Agarwal 2024-12-31
Hello. The following truth table is required for fuzzy control. For this purpose, it is necessary to use a look-up table. Please guide me to design the FIS.
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Walter Roberson
Walter Roberson 2024-12-15
To confirm:
If input 1 is exactly 0.32 and input 2 is exactly 0.39, then the output is to be 1/2 ? And if input 1 is 0.319999 instead, then the output is to be NaN ?

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Malay Agarwal
Malay Agarwal 2024-12-31
Ran in:
Hi @Milad,
I have attached a function which creates a fuzzy system. You can use it as follows:
fis = create_fis();
figure;
opts = gensurfOptions;
opts.InputIndex = [2, 1];
gensurf(fis, opts);
Here are some details about the function:
  • The "mamfis" function is used to initialize an empty fuzzy system.
  • the "addInput" function is used to add the inputs.
  • The "addOutput" function is used to add the output.
  • A bunch of "addMF" function calls are used to add the appropriate membership functions to the fuzzy system.
  • Finally, the "addRule" function is used to add the necessary relationships between the different membership functions.
Please note that the fuzzy system here may not be an exact match to the expected one. If that is the case, you will have to modify the membership rules to make the system match exactly.
Refer to the documentation of "addMF" and "addRule" for more details on how you can do this.
Hope this helps!

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