public Rule(TermSetGlobal <Term> terms_set, int[] number_of_terms)
{
foreach (int i in number_of_terms)
{
if (i != -1)
{
term_of_rule_set.Add(terms_set[i]);
}
}
terms_set.AddDependencyRule(term_of_rule_set);
term_of_rule_set.AddTermSetGlobal(terms_set);
}
/// <summary>
/// Конструктор правила
/// </summary>
/// <param name="TermsSet">Колекция всех термов в базе правил</param>
/// <param name="NumOfTerms">Номера термов используемых в этом правиле из TermsSet</param>
public Rule(TermSetGlobal <Term> TermsSet, int[] NumOfTerms)
{
foreach (int i in NumOfTerms)
{
if (i != -1)
{
ListTermsInRule.Add(TermsSet[i]);
}
}
TermsSet.AddDependencyRule(ListTermsInRule);
ListTermsInRule.AddTermSetGlobal(TermsSet);
}
public static double NearestApprox(SAFuzzySystem Approximate, TermSetGlobal <Term> termSet)
{
return(NearestApprox(Approximate, termSet.ToList()));
}
public PCRule(TermSetGlobal <Term> terms_set, int[] number_of_terms, string class_label, double CF_parms = 1.0)
: base(terms_set, number_of_terms)
{
cF = CF_parms;
LabelOfClass = class_label;
}
public static string NearestClass(PCFuzzySystem Classifier, TermSetGlobal <Term> termSet)
{
return(NearestClass(Classifier, termSet.ToList()));
}
public SARule(TermSetGlobal <Term> terms_set, int[] number_of_terms, double DoubleOutput)
: base(terms_set, number_of_terms)
{
IndependentConstantConsequent = DoubleOutput;
}
public static double EvaluteConsiquent(TSAFuzzySystem System, TermSetGlobal <Term> termSet, out double[] RegressionCoefficents)
{
return(EvaluteConsiquent(System, termSet.ToList(), out RegressionCoefficents));
}
public TSARule(TermSetGlobal <Term> terms_set, int[] number_of_terms, double independentConstantConsequent, double[] regressionConstantConsequent)
: base(terms_set, number_of_terms, independentConstantConsequent)
{
RegressionConstantConsequent = regressionConstantConsequent;
}
