/// <summary>
/// Creates new instance of image just to display a single-dimensional fuzzy set without any values specified.
/// </summary>
/// <param name="singleDimensionalSet">Single-dimensional set to display</param>
public Type2RelationImage(Type2FuzzyVariable singleDimensionalSet)
{
_variable = singleDimensionalSet;
_fullySpecified = false;
_specifiedMembership = null;
}
private double PreprocessInputValue(Type2FuzzyVariable variable, double value)
{
if (value <= variable.Min)
{
return variable.Min;
}
if (value >= variable.Max)
{
return variable.Max;
}
return value;
}
private static Bitmap GetTermImg(Type2FuzzyVariable fv)
{
Bitmap bmp = new Bitmap(400, 200);
if (fv != null)
{
Type2RelationImage img = new Type2RelationImage(fv);
img.DrawImage(Graphics.FromImage(bmp));
}
return bmp;
}
public DecisionMakerType2(string stretchedParametersXml, FuzzyVariable outputVariable, RulesList ruleDefinitions, List<FuzzyVariable> includedVariables)
{
XmlSerializer serializer = new XmlSerializer(typeof(Type2ParamsList));
XmlReaderSettings settings = new XmlReaderSettings();
using (StringReader textReader = new StringReader(stretchedParametersXml))
{
using (XmlReader xmlReader = XmlReader.Create(textReader, settings))
{
Type2ParamsList deserializedT2Params = (Type2ParamsList)serializer.Deserialize(xmlReader);
inputVariables = new List<Type2FuzzyVariable>();
foreach (var variable in deserializedT2Params.Items)
{
if (includedVariables.Exists(v => v.Name == variable.ParamName))
{
Type2FuzzyVariable newVariable = new Type2FuzzyVariable(
variable.ParamName,
variable.Min,
variable.Max,
variable.Unit);
foreach (var term in variable.Terms)
{
Type2FuzzyTerm newTerm = new Type2FuzzyTerm(
term.name,
new NormalMembershipFunction(term.b.Upper, term.c.Upper),
new NormalMembershipFunction(term.b.Lower, term.c.Lower));
newVariable.Terms.Add(newTerm);
}
inputVariables.Add(newVariable);
}
}
// output variable
this.outputVariable = new Type2FuzzyVariable(
outputVariable.Name,
outputVariable.Min,
outputVariable.Max,
outputVariable.Unit);
foreach (var term in outputVariable.Terms)
{
Type2FuzzyTerm newTerm = new Type2FuzzyTerm(
term.Name,
new NormalMembershipFunction(
(term.MembershipFunction as NormalMembershipFunction).B,
(term.MembershipFunction as NormalMembershipFunction).Sigma),
new NormalMembershipFunction(
(term.MembershipFunction as NormalMembershipFunction).B,
(term.MembershipFunction as NormalMembershipFunction).Sigma));
this.outputVariable.Terms.Add(newTerm);
}
// rules
rules = new List<Type2MamdaniFuzzyRule>();
var updatedDefinitions = new List<RuleDef>();
foreach (var rule in ruleDefinitions.Items)
{
string[] splitDef = rule.Definition.Split(
new[] {"if", "and", "(", ")"},
StringSplitOptions.RemoveEmptyEntries);
string updatedDef = string.Empty;
foreach (var condition in splitDef)
{
if (condition == string.Empty)
{
continue;
}
var trimmedCondition = condition.Trim();
if (trimmedCondition.StartsWith("then"))
{
updatedDef += trimmedCondition;
}
else
{
string variable = trimmedCondition.Split(' ')[0];
if (includedVariables.Exists(v => v.Name == variable))
{
string keyword = updatedDef == string.Empty ? "if" : "and";
updatedDef += string.Format("{0} ({1}) ", keyword, trimmedCondition);
}
}
}
if (!updatedDefinitions.Exists(r => r.Definition.Equals(updatedDef)))
{
updatedDefinitions.Add(new RuleDef { Definition = updatedDef, Weight = rule.Weight });
Type2MamdaniFuzzyRule newRule = ParseRule(updatedDef);
newRule.Weight = rule.Weight;
rules.Add(newRule);
}
}
isInitialized = true;
}
}
}
public DecisionMakerType2(DecisionMakerType1 type1Source)
{
this.type1Source = type1Source;
// input variables
inputVariables = new List<Type2FuzzyVariable>();
foreach (var variable in type1Source.InputVariables)
{
Type2FuzzyVariable newVariable = new Type2FuzzyVariable(
variable.Name,
variable.Min,
variable.Max,
variable.Unit);
foreach (var term in variable.Terms)
{
Type2FuzzyTerm newTerm = new Type2FuzzyTerm(
term.Name,
new NormalMembershipFunction(
(term.MembershipFunction as NormalMembershipFunction).B,
(term.MembershipFunction as NormalMembershipFunction).Sigma),
new NormalMembershipFunction(
(term.MembershipFunction as NormalMembershipFunction).B,
(term.MembershipFunction as NormalMembershipFunction).Sigma));
newVariable.Terms.Add(newTerm);
}
inputVariables.Add(newVariable);
}
// output variable
outputVariable = new Type2FuzzyVariable(
type1Source.OutputVariable.Name,
type1Source.OutputVariable.Min,
type1Source.OutputVariable.Max,
type1Source.OutputVariable.Unit);
foreach (var term in type1Source.OutputVariable.Terms)
{
Type2FuzzyTerm newTerm = new Type2FuzzyTerm(
term.Name,
new NormalMembershipFunction(
(term.MembershipFunction as NormalMembershipFunction).B,
(term.MembershipFunction as NormalMembershipFunction).Sigma),
new NormalMembershipFunction(
(term.MembershipFunction as NormalMembershipFunction).B,
(term.MembershipFunction as NormalMembershipFunction).Sigma));
outputVariable.Terms.Add(newTerm);
}
// rules
rules = new List<Type2MamdaniFuzzyRule>();
foreach (var rule in type1Source.RulesDefinitions.Items)
{
Type2MamdaniFuzzyRule newRule = ParseRule(rule.Definition);
newRule.Weight = rule.Weight;
rules.Add(newRule);
}
isInitialized = false;
}