RuleSettings

Tunable parameter settings of fuzzy rules

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Description

A RuleSettings object is created using the getTunableSettings function with a mamfis, sugfis, or fistree object. When the third output is specified, getTunableSettings returns tunable parameter settings of fuzzy rules. Specify the settings of the Antecedent and Consequent properties.

Creation

Create a RuleSettings object using getTunableSettings with three outputs.

Properties

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This property is read-only.

Name of fuzzy inference system, specified as a string.

This property is read-only.

Index of rule in fuzzy inference system, specified as an integer.

Antecedent parameter settings of rule, specified as a ClauseParameters object. Each antecedent parameter consists of the properties AllowNot, AllowEmpty, and Free. You can specify these properties.

Consequent parameter settings of rule, specified as a ClauseParameters object. Each consequent parameter consists of the properties AllowNot, AllowEmpty, and Free. You can specify these properties.

Object Functions

setTunableSet specified parameter settings as tunable or nontunable

Examples

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Open Live Script

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 rules of the fuzzy inference system.

[~,~,rule] = getTunableSettings(tree)
rule=18×1 object
  16x1 RuleSettings array with properties:

    Index
    Antecedent
    Consequent
    FISName
      ⋮

You can use dot notation to specify the tunable settings of rules.

For the first rule, do not tune input 1 membership function index and do not ignore output 1 membership function index.

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

For the second rule, allow NOT logic for input 2 membership function index.

rule(2).Antecedent.AllowNot(2) = true;

See Also

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Introduced in R2019a

Fuzzy Logic Toolbox Documentation

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