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Diffstat (limited to 'fuzzylite/fl/defuzzifier/WeightedAverage.h')
-rw-r--r-- | fuzzylite/fl/defuzzifier/WeightedAverage.h | 71 |
1 files changed, 71 insertions, 0 deletions
diff --git a/fuzzylite/fl/defuzzifier/WeightedAverage.h b/fuzzylite/fl/defuzzifier/WeightedAverage.h new file mode 100644 index 0000000..7f8e9f6 --- /dev/null +++ b/fuzzylite/fl/defuzzifier/WeightedAverage.h @@ -0,0 +1,71 @@ +/* + fuzzylite (R), a fuzzy logic control library in C++. + Copyright (C) 2010-2017 FuzzyLite Limited. All rights reserved. + Author: Juan Rada-Vilela, Ph.D. <jcrada@fuzzylite.com> + + This file is part of fuzzylite. + + fuzzylite is free software: you can redistribute it and/or modify it under + the terms of the FuzzyLite License included with the software. + + You should have received a copy of the FuzzyLite License along with + fuzzylite. If not, see <http://www.fuzzylite.com/license/>. + + fuzzylite is a registered trademark of FuzzyLite Limited. + */ + +#ifndef FL_WEIGHTEDAVERAGE_H +#define FL_WEIGHTEDAVERAGE_H + +#include "fl/defuzzifier/WeightedDefuzzifier.h" + +namespace fl { + class Activated; + + /** + The WeightedAverage class is a WeightedDefuzzifier that computes the + weighted average of a fuzzy set represented in an Aggregated Term. + + @author Juan Rada-Vilela, Ph.D. + @see WeightedAverageCustom + @see WeightedSum + @see WeightedSumCustom + @see WeightedDefuzzifier + @see Defuzzifier + @since 4.0 + */ + class FL_API WeightedAverage : public WeightedDefuzzifier { + public: + explicit WeightedAverage(Type type = Automatic); + explicit WeightedAverage(const std::string& type); + virtual ~WeightedAverage() FL_IOVERRIDE; + FL_DEFAULT_COPY_AND_MOVE(WeightedAverage) + + virtual std::string className() const FL_IOVERRIDE; + + virtual Complexity complexity(const Term* term) const FL_IOVERRIDE; + + /** + Computes the weighted average of the given fuzzy set represented in + an Aggregated term as @f$y = \dfrac{\sum_i w_iz_i}{\sum_i w_i} @f$, + where @f$w_i@f$ is the activation degree of term @f$i@f$, and + @f$z_i = \mu_i(w_i) @f$. + + From version 6.0, the implication and aggregation operators are not + utilized for defuzzification. + + @param term is the fuzzy set represented as an Aggregated Term + @param minimum is the minimum value of the range (only used for Tsukamoto) + @param maximum is the maximum value of the range (only used for Tsukamoto) + @return the weighted average of the given fuzzy set + */ + virtual scalar defuzzify(const Term* term, + scalar minimum, scalar maximum) const FL_IOVERRIDE; + virtual WeightedAverage* clone() const FL_IOVERRIDE; + + static Defuzzifier* constructor(); + }; +} + +#endif /* FL_WEIGHTEDAVERAGE_H */ + |