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 hierarchy

CObject

IParsableRule

CGenericFuzzyRule

CSugenoFuzzyRule

Class methods

Methods inherited from class CGenericFuzzyRule

: Condition, Condition, CreateCondition, CreateCondition, CreateCondition