update

Update fuzzy rule using fuzzy inference system

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Syntax

rule = update(rule,fis)

Description

rule = update(rule,fis) updates the fuzzy rule rule using the information in fuzzy inference system fis.

example

Examples

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Open Live Script

Create a fuzzy rule using a verbose text description.

rule = fisrule("if service is poor and food is delicious then tip is average (1)");

Alternatively, you can specify the same rule using a symbolic text description.

rule = fisrule("service==poor & food==delicious => tip=average")
rule = 
  fisrule with properties:

    Description: "service==poor & food==delicious => tip=average (1)"
     Antecedent: []
     Consequent: []
         Weight: 1
     Connection: 1

Before using rule with a fuzzy system, update the rule Antecedent and Consequent properties using the update function.

fis = readfis("tipper");
rule = update(rule,fis)
rule = 
  fisrule with properties:

    Description: "service==poor & food==delicious => tip=average (1)"
     Antecedent: [1 2]
     Consequent: 2
         Weight: 1
     Connection: 1
Open Live Script

Create a fuzzy rule using a numeric description. Specify that the rule has two input variables.

rule = fisrule([1 2 2 0.5 1],2)
rule = 
  fisrule with properties:

    Description: "input1==mf1 & input2==mf2 => output1=mf2 (0.5)"
     Antecedent: [1 2]
     Consequent: 2
         Weight: 0.5000
     Connection: 1

Before using rule with a fuzzy system, update the rule Description property using the update function.

fis = readfis("tipper");
rule = update(rule,fis)
rule = 
  fisrule with properties:

    Description: "service==poor & food==delicious => tip=average (0.5)"
     Antecedent: [1 2]
     Consequent: 2
         Weight: 0.5000
     Connection: 1

Input Arguments

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Fuzzy rule, specified as a fisrule object or an array of fisrule objects. If rule was created using a:

  • Text description, its Antecedent and Consequent properties are updated using the input and output membership function indices in fis that correspond to the membership function names in the Description property of rule

  • Numeric description, its Description property is updated using the input and output membership function names in fis that correspond to the membership function indices in the Antecedent and Consequent properties of rule

If you specify rule as an array of fisrule objects, then all of the rules are updated accordingly.

Fuzzy inference system, specified as one of these objects:

  • mamfis — Mamdani fuzzy inference system

  • sugfis — Sugeno fuzzy inference system

  • mamfistype2 — Type-2 Mamdani fuzzy inference system

  • sugfistype2 — Type-2 Sugeno fuzzy inference system

Version History

Introduced in R2018b

See Also

Topics