update
Update fuzzy rule using fuzzy inference system
Syntax
Description
Examples
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 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
Fuzzy rule, specified as a fisrule
object
or an array of fisrule
objects. If rule
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 ofrule
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 ofrule
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 systemsugfis
— Sugeno fuzzy inference systemmamfistype2
— Type-2 Mamdani fuzzy inference systemsugfistype2
— Type-2 Sugeno fuzzy inference system
Version History
Introduced in R2018b
MATLAB Command
You clicked a link that corresponds to this MATLAB command:
Run the command by entering it in the MATLAB Command Window. Web browsers do not support MATLAB commands.
Seleziona un sito web
Seleziona un sito web per visualizzare contenuto tradotto dove disponibile e vedere eventi e offerte locali. In base alla tua area geografica, ti consigliamo di selezionare: .
Puoi anche selezionare un sito web dal seguente elenco:
Come ottenere le migliori prestazioni del sito
Per ottenere le migliori prestazioni del sito, seleziona il sito cinese (in cinese o in inglese). I siti MathWorks per gli altri paesi non sono ottimizzati per essere visitati dalla tua area geografica.
Americhe
- América Latina (Español)
- Canada (English)
- United States (English)
Europa
- Belgium (English)
- Denmark (English)
- Deutschland (Deutsch)
- España (Español)
- Finland (English)
- France (Français)
- Ireland (English)
- Italia (Italiano)
- Luxembourg (English)
- Netherlands (English)
- Norway (English)
- Österreich (Deutsch)
- Portugal (English)
- Sweden (English)
- Switzerland
- United Kingdom (English)