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Navigation: Code Documentation > RSFuzzyLogic

FuzzyLogic Namespace

The FuzzyLogic unit contains the objects which implement Fuzzy Logic. Fuzzy Logic is a method for modeling and reasoning about imprecise or approximate concepts. Traditional logic, where concepts must be true or false, zero or one, has trouble at the boundaries of a problem: Is the water hot or cold? It's neither and both, it is somewhat hot. Fuzzy logic concerns itself with the boundaries of a concept, things can be "somewhat true" and "sorta false". Fuzzy Logic reduces system complexity by avoiding the complex mathematics and logic necessary to solve problems at these boundary conditions using traditional, exists/not exists, logic. It is able to approximate the behavior of problems that are poorly understood or non-linear.

Fuzzy Logic also exhibits another desirable characteristic, it allows the user to represent or model the problem linguistically. Fuzzy Logic allows reasoning about the problem in ways natural to the user: Is the temperature hot? How long is the project duration? Using linguistic variables ( FuzzyLogic.TFuzzyVariable, similar to regular variables like X and Y except they take values ( FuzzyLogic.TFuzzySet s) like "cold" or "not very long"), Fuzzy Logic provides a closer mapping between the actual, real world, problem and the computer representation of the problem.

	Name	Description
	EFzyParseException	Defines the base exception class for all fuzzy parse exceptions. The EFzyParseException class allows you to catch all exceptions that occur only because of parsing problems. In addition, it provides the line number where the parsing error occurred.
	TCustomFuzzyLogic	Base class component for including fuzzy logic in your application. This class defines the base properties and methods for defining fuzzy variables and fuzzy sets.
	TCustomFuzzyLogicParser	Provides a base class for fuzzy logic parsers in the fuzzy logic library (it is not used in the IECS).
	TFuzzyLogic	Descends from the TCustomFuzzyLogic component to expose its properties and events. Use TFuzzyLogic to include fuzzy logic in your application.
	TFuzzySet	Encapsulates one fuzzy set, or term, in the universe of discourse (defined by a Fuzzy Variable).
	TFuzzySets	Encapsulates all the fuzzy sets, or terms, in a fuzzy variable (see TFuzzyVariable).
	TFuzzySetsEnumerator	Represents type TFuzzySetsEnumerator.
	TFuzzySetValue	Encapsulates one XY value pair in a fuzzy set (see TFuzzySet). The collection of TFuzzySetValues defines the shape of a fuzzy set.
	TFuzzySetValues	Encapsulates all the XY value pairs in a fuzzy set (see TFuzzySet). The collection defines the shape of a fuzzy set. The values are sorted by their X property. Changing a value's X property can cause the points to move around in the collection.
	TFuzzySetValuesEnumerator	Defines an enumeration class for iterating over fuzzy set values
	TFuzzyVariable	Defines a linguistic variable, or fuzzy variable, such as Temperature which may take fuzzy sets as values, such as warm, cold, or hot.
	TFuzzyVariables	Encapsulates all the fuzzy Variables, or terms, in a fuzzy logic component (see TCustomFuzzyLogic and TFuzzyLogic). It manages a list of fuzzy Variables.
	TFuzzyVariablesEnumerator	Represents type TFuzzyVariablesEnumerator.

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	Name	Description
	TCalcFuzzyFunctionEvent	Represents type TCalcFuzzyFunctionEvent.
	TCalcFuzzyIntfFunctionEvent	Represents type TCalcFuzzyIntfFunctionEvent.
	TFuzzyComparison	Event signature for comparing values in a fuzzy operation
	TFuzzyExpressionEvent	Represents type TFuzzyExpressionEvent.
	TFuzzyOperator	Event signature for acting on a fuzzy set's values
	TFuzzySetEvent	Represents type TFuzzySetEvent.
	TFuzzyVariableEvent	Represents type TFuzzyVariableEvent.
	TFuzzyVariableSetEvent	Represents type TFuzzyVariableSetEvent.

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	Name	Description
	TFuzzySetClass	Represents type TFuzzySetClass.
	TFuzzyVariableClass	Represents type TFuzzyVariableClass.
	TFuzzyVariablesClass	Represents type TFuzzyVariablesClass.

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	Name	Description
	Add1AndIncrement2(TFuzzySet,TFuzzySetValue,TFuzzySetValue,TFuzzySetValue,TFuzzySetValue,Integer,Integer,TFzyFloat,TFzyFloat,TFuzzySetValues,TFuzzySetValues,TFzyFloat,Boolean)	Represents method Add1AndIncrement2(TFuzzySet,TFuzzySetValue,TFuzzySetValue,TFuzzySetValue,TFuzzySetValue,Integer,Integer,TFzyFloat,TFzyFloat,TFuzzySetValues,TFuzzySetValues,TFzyFloat,Boolean).
	AddAndIncrement(TFuzzySet,TFuzzySetValue,TFuzzySetValue,TFuzzySetValue,Integer,TFzyFloat,TFzyFloat,TFuzzySetValues,TFzyFloat,Boolean)	Represents method AddAndIncrement(TFuzzySet,TFuzzySetValue,TFuzzySetValue,TFuzzySetValue,Integer,TFzyFloat,TFzyFloat,TFuzzySetValues,TFzyFloat,Boolean).
	FloatEquals(TFzyFloat,TFzyFloat)	Compares two floating point values and returns if they are equal.
	NextPoint(TFuzzySetValue,TFuzzySetValue,Integer,TFuzzySetValues,TFzyFloat)	Represents method NextPoint(TFuzzySetValue,TFuzzySetValue,Integer,TFuzzySetValues,TFzyFloat).
	Sign(TFzyFloat)	Returns the sign of the value: +1 for positive, -1 for negative or 0.

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