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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 entries rather than by a fuzzy term. Fuzzy logic rule for the Sugeno algorithm can be described as follows:

fuzzy_sugeno_rule

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

Class method

Description

Conclusion

Gets and sets the Sugeno fuzzy rule conclusion


Updated: 2017.03.22