CSugenoFuzzyRule
Sugeno-type fuzzy inference — one of the two basic types of fuzzy systems. Output variable values are set as a linear combination of input variables.
Description
Unlike the Mamdani rule, an input variable value is set by a linear function from input parameters rather than by a fuzzy term. Fuzzy logic rule for the Sugeno 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;
- b = (b1, b2, b3 ... bn) — free term ratio in the linear function for an output value
- W — rule weight.
Declaration
class CSugenoFuzzyRule : public CGenericFuzzyRule |
Title
#include <Math\Fuzzy\fuzzyrule.mqh> |
Inheritance hierarchyIParsableRule CSugenoFuzzyRule |
Class methods
Class method |
Description |
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Gets and sets the Sugeno fuzzy rule conclusion |
Methods inherited from class CObject |
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Methods inherited from class CGenericFuzzyRule Condition, Condition, CreateCondition, CreateCondition, CreateCondition |