update
Update fuzzy rule using fuzzy inference system
Description
Examples
Create Fuzzy Rule Using Text Description
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
Create Fuzzy Rule Using Numeric Description
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
ruleIn
— Fuzzy rule
fisrule
object | array of fisrule
objects
Fuzzy rule, specified as a fisrule
object
or an array of fisrule
objects. If ruleIn
was
created using a:
Text description, its
Antecedent
andConsequent
properties are updated using the input and output membership function indices infis
that correspond to the membership function names in theDescription
property ofruleIn
Numeric description, its
Description
property is updated using the input and output membership function names infis
that correspond to the membership function indices in theAntecedent
andConsequent
properties ofruleIn
If you specify ruleIn
as an array of
fisrule
objects, then all of the rules are updated accordingly.
fis
— Fuzzy inference system
mamfis
object | sugfis
object | mamfistype2
object | sugfistype2
object
Fuzzy inference system, specified as one of the following:
mamfis
object — Mamdani fuzzy inference systemsugfis
object — Sugeno fuzzy inference systemmamfistype2
object — Type-2 Mamdani fuzzy inference systemsugfistype2
object — Type-2 Sugeno fuzzy inference system
Output Arguments
ruleOut
— Fuzzy rule
fisrule
object | array of fisrule
objects
Fuzzy rule, returned as a fisrule
object or an array of
fisrule
objects.
Version History
Introduced in R2018b
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