Create two fuzzy inference systems, and define the connection between the two.

fis1 = mamfis('Name','fis1','NumInputs',2,'NumOutputs',1);
fis2 = sugfis('Name','fis2','NumInputs',2,'NumOutputs',1);
con = ["fis1/output1" "fis2/input1"];

Create a tree of fuzzy inference systems.

tree = fistree([fis1 fis2],con);

Obtain the tunable settings of input and output variables of the fuzzy inference system.

[in,out] = getTunableSettings(tree)

in=4×1 object
  4x1 VariableSettings array with properties:

    Type
    VariableName
    MembershipFunctions
    FISName

out=2×1 object
  2x1 VariableSettings array with properties:

    Type
    VariableName
    MembershipFunctions
    FISName

You can use dot notation to specify the tunable settings of input and output variables.

For the first membership function of input 1, set the first and third parameters to tunable.

in(1).MembershipFunctions(1).Parameters.Free = [1 0 1];

For the first membership function of input 2, set the minimum parameter range to 0.

in(2).MembershipFunctions(1).Parameters.Minimum = 0;

For the first membership function of output 2, set the maximum parameter range to 1.

out(2).MembershipFunctions(1).Parameters.Maximum = 1;