getTunableSettings

Create a fuzzy inference system.

fis1 = mamfis('Name','fis1','NumInputs',2,'NumOutputs',1);

Obtain the tunable settings of the inputs, outputs, and rules of the fuzzy inference system.

[in,out,rule] = getTunableSettings(fis1);

You can use dot notation to specify tunable settings.

For the first membership function of input 1:

in(1).MembershipFunctions(1).Parameters.Free(1) = false; in(1).MembershipFunctions(1).Parameters.Minimum(2:end) = 0; in(1).MembershipFunctions(1).Parameters.Maximum(2:end) = 1;

For the first rule:

rule(1).Antecedent.Free(1) = false; rule(1).Antecedent.AllowNot(2) = true; rule(1).Consequent.AllowEmpty(1) = false;

Create a fuzzy inference system.

fis1 = mamfis('Name','fis1','NumInputs',2,'NumOutputs',1);

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

[in,out] = getTunableSettings(fis1);

可以使用点符号来指定可调ttings 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 the output variable, set the maximum parameter range to 1.

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

Create a type-2 fuzzy inference system.

fis = mamfistype2('Name','fis1','NumInputs',2,'NumOutputs',1);

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

[in,out] = getTunableSettings(fis);

可以使用点符号来指定可调ttings of the membership functions of the input and output variables.

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

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

For the first membership function of input 2, set the tunable range of the lower membership function scale to be between0.7and0.9.

in(2).MembershipFunctions(1).LowerScale.Minimum = 0.7; in(2).MembershipFunctions(1).LowerScale.Maximum = 0.9;

For the first membership function of output 1, set the tunable range of the lower membership function lag to be between0.1and0.4.

in(2).MembershipFunctions(1).LowerLag.Minimum = 0.1; in(2).MembershipFunctions(1).LowerLag.Maximum = 0.4;

By default, the tunable settigns for a type-2 FIS produce symmetric lag results in the tuned system. To allow for asymmetric lag results, specify the AsymmetricLag name-value argument.

[in2,out2] = getTunableSettings(fis,'AsymmetricLag',true);

Create a fuzzy inference system, and define the tunable parameter settings of inputs, outputs, and rules.

Create a FIS, and obtain its tunable settings.

fis = mamfis("NumInputs",2,"NumOutputs",2); [in,out,rule] = getTunableSettings(fis);

You can specify all the input variables, output variables, or rules as tunable or nontunable. For example, set all the output variable settings as nontunable.

out = setTunable(out,0);

You can set the tunability of individual variables or rules. For example, set the first input variable as nontunable.

in(1) = setTunable(in(1),0);

You can set individual membership functions as nontunable. For example, set the first membership function of input 2 as nontunable.

in(2).MembershipFunctions(1) = setTunable(in(2).MembershipFunctions(1),0);

You can also specify the tunability of a subset of variables or rules. For example, set the first two rules as nontunable.

rule(1:2) = setTunable(rule(1:2),0);

Create a FIS tree that contains three FIS objects.

fis1 = mamfis(Name=“fis1”,NumInputs=2,NumOutputs=1); fis2 = mamfis(Name="fis2",NumInputs=2,NumOutputs=1); fis3 = mamfis(Name="fis3",NumInputs=2,NumOutputs=1); connections = ["fis1/output1""fis3/input1";"fis2/output1""fis3/input2"]; fisT = fistree([fis1 fis2 fis3],connections);

Obtain the tunable settings for the variables and rules infis3.

[in3,out3,rule3] = getTunableSettings(fisT,FIS="fis3");

You can also obtain tunable settings for multiple FIS objects in a FIS tree. Obtain the unable settings for the rules infis1andfis2.

[~, ~,规则12]= getTunableSettings(拳头,FIS=[“fis1”"fis2"]);