private int varId; // Unique Id of next variable
#endregion Fields
#region Constructors
/// <summary>
/// Creaes a Fuzzy Rule Base
/// </summary>
/// <param name="vsName">Name of the Rule Base</param>
public FuzzyRuleBase(string vsName)
{
mdAlphaCut = Constants.FuzzyAlphaCutDefault;
meCorrelationMethod = EnumFuzzyCorrelationMethod.Product;
meDefuzzifyMethod = EnumFuzzyDefuzzifyMethod.Centroid;
meInferenceMethod = EnumFuzzyInferenceMethod.Add;
varId = Constants.FuzzyVarIdInitial;
moVariableList = new Dictionary<string, FuzzyRuleVariable>();
ruleId = Constants.FuzzyRuleIdInitial;
moRuleList = new List<FuzzyRule>(10);
moCndRuleList = new List<FuzzyRule>(10);
moUncRuleList = new List<FuzzyRule>(10);
moFbInitial = new System.Collections.BitArray(Constants.FUZZY_MAXVALUES);
msName = vsName;
}
/// <summary>
/// Clear the RuleBase
/// </summary>
public void Clear()
{
// Ruleset name
msName = "";
// Ruleset options
mdAlphaCut = Constants.FuzzyAlphaCutDefault;
meCorrelationMethod = EnumFuzzyCorrelationMethod.Product;
meDefuzzifyMethod = EnumFuzzyDefuzzifyMethod.Centroid;
meInferenceMethod = EnumFuzzyInferenceMethod.Add;
// Lists of variables
varId = Constants.FuzzyVarIdInitial;
moVariableList.Clear();
// Lists of rules
ruleId = Constants.FuzzyRuleIdInitial;
moRuleList.Clear();
moCndRuleList.Clear();
moUncRuleList.Clear();
List<FuzzyRule> temp_fuzzylist;
// Fact Base
moFbInitial = new System.Collections.BitArray(Constants.FUZZY_MAXVALUES);
}
/// <summary>
/// Implicates the current working set to the given fuzzy set using the
/// given infer method.
/// </summary>
/// <param name="inputSet">the WorkingFuzzySet object to implicate to</param>
/// <param name="inferMethod">the integer that represents the infer method</param>
internal virtual void ImplicateTo(WorkingFuzzySet inputSet, EnumFuzzyInferenceMethod inferMethod)
{
switch (inferMethod)
{
case EnumFuzzyInferenceMethod.Add:
for (int i = 0; i < Constants.FUZZY_MAXVALUES; ++i)
{
double sum = mdTruthVector[i] + inputSet.GetTruthValue(i);
if (sum < 1.0)
{
mdTruthVector[i] = sum;
}
else
{
mdTruthVector[i] = 1.0;
}
}
break;
case EnumFuzzyInferenceMethod.MinMax:
for (int i = 0; i < Constants.FUZZY_MAXVALUES; ++i)
{
if (mdTruthVector[i] < inputSet.GetTruthValue(i))
{
mdTruthVector[i] = inputSet.GetTruthValue(i);
}
}
break;
}
}
