CMamdaniFuzzyRule
Mamdani-type fuzzy inference — one of the two basic types of fuzzy systems. Output variable values are set using fuzzy terms.
Description
Fuzzy logic rule for the Mamdani algorithm can be described as follows:
where:
- X = (X1, X2, X3 ... Xn) — vector of input variables;
- Y — output variable;
- a = (a1, a2, a3 ... an) — vector of input variable values;
- d — output variable value;
- W — rule weight.
Declaration
class CMamdaniFuzzyRule : public CGenericFuzzyRule |
Title
#include <Math\Fuzzy\fuzzyrule.mqh> |
Inheritance hierarchyIParsableRule CMamdaniFuzzyRule |
Class methods
Class method |
Description |
|---|---|
Gets and sets the Mamdani fuzzy rule conclusion |
|
Gets and sets the Mamdani fuzzy rule weight |
Methods inherited from class CObject |
|---|
Methods inherited from class CGenericFuzzyRule Condition, Condition, CreateCondition, CreateCondition, CreateCondition |