TCustomFuzzyLogic Class

TComponent
FuzzyLogic.TCustomFuzzyLogic
FuzzyLogic.TFuzzyLogic
IFuzzyLogic.TIFuzzyLogic

Delphi

type
TCustomFuzzyLogic = class(TComponent)
end;

	Name	Description
	Create(TComponent)	Initializes a new instance of the TCustomFuzzyLogic class.
	Destroy	Represents the destructor of the TCustomFuzzyLogic class.

Top

	Name	Description
	AutoTerms	Controls whether the fuzzy logic component will automatically generate the fuzzy terms or sets; low, medium, and high; for each new fuzzy variable. If this property is false, newly created fuzzy variables will have no fuzzy sets until you define them.
	CorrelationMethod	Defines which of the two fuzzy correlation methods are used in correlation: Minimum and Product.
	DefuzzificationMethod	Defines the defuzzification method that fuzzy sets should use for determining a value that best represents the fuzzy set. There are two methods available: center of gravity and mean of maxima
	InferenceMethod	Controls which fuzzy inference methods is used in fuzzy inference (see Infer method).
	NeedsUpdate	Represents property NeedsUpdate.
	NumFunctionValues	Defines the default number of XY value pairs used to create fuzzy sets.
	OnChange	Occurs when the fuzzy variable is changed, either its properties such as Minimum and Maximum or when fuzzy sets are added and deleted.
	Parser	Refers to the IFuzzyParser interface implementation which can print and parse the fuzzy variable and its fuzzy sets
	Strings	Contains a string representation of all the fuzzy variables and fuzzy sets in the fuzzy logic component. As fuzzy variables and sets are added to the component, this property gets updated. You can also change the strings property and fuzzy variables and sets will be automatically added, changed, and deleted.
	Threshold	Defines the "noise" level of fuzzy sets in the variable. When two fuzzy sets are compared to see if they are equal, all the XY value pairs of the two fuzzy sets are compared. If the minimum Y value of the two fuzzy sets at some X point exceed the threshold, then they equal
	Variables	Provides a place where you can define variables using name=value pairs, e.g., x=cold or warm.

Top

	Name	Description
	Notification(TComponent,TOperation)	Represents method Notification(TComponent,TOperation).
	Parse	Parse its Strings property. The Parse method uses the TCustomFuzzyLogicParser component pointed at by the Parser property.
	ThresholdChanged	Represents method ThresholdChanged.
	UpdateStrings	Represents method UpdateStrings.

Top

The TCustomFuzzyLogic component is the base class for the TFuzzyLogic component, which defines fuzzy sets and variables using normal classes, and the TIFuzzyLogic component, which defines fuzzy sets and variables using interfaces.

Fuzzy variables (such as TFuzzyVariable) define a linguistic variable, such as Temperature which may take fuzzy sets as values, such as warm, cold, or hot. Fuzzy Variables are much like set variables in Pascal. However, unlike Pascal variables, the enumerated items, or terms, in the set are fuzzy and not crisp. Pascal allows enumerated values to either be in or not in the set. Fuzzy variables allow values to be partially in the set. For example, we may define a fuzzy variable which is based on Temperature. Any variable of this type may take fuzzy set (see TFuzzySet) values of cold, warm, and hot (or some combination). Cold, warm, and hot are the fuzzy sets which define the terms of the type. Each fuzzy set defines a membership function over the domain of temperature. If, for our example, temperature has a range between 0 and 100 Celsius, Cold could be a fuzzy set that defined any value under 10 Celcius as completely cold (one or True), any value over 50 as not at all cold (zero), and any value in between having a membership between zero and one.

Reference

•FuzzyLogic

RiverSoftAVG Products Help

Reference