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EFzyException

Fefines the base exception class for the Fuzzy Logic Component Library (FLCL). Exceptions that are raised in this unit, raise EFzyException.

TFzyFloat

Defines the basic unit for all values in the fuzzy logic package

TBaseFuzzyHedge

Defines the basic hedges available for modifying fuzzy sets, or shapes. Basic Hedges are the basic operations you can perform to modify the shape of fuzzy sets. The regular fuzzy hedges; not, very, somewhat, etc; are variations of these basic hedges.

TDefuzzificationMethod

Defines the defuzzification methods for determining a value that best represents a fuzzy set. There are two methods available: center of gravity and mean of maxima.

TFuzzyCorrelationMethod

Defines the two fuzzy correlation methods available: Minimum and Product. Fuzzy correlation controls how the truth level (where 0 is completely FALSE and 1 is completely TRUE) of a rule's premise (IF portion) modifies the truth of the rule's consequents, whether fuzzy sets are truncated at the truth level (creating a plateau) or multiplied by the truth level (preserving the shape of the fuzzy set but shrinking it).

TFuzzyHedge

Defines the hedges available for modifying fuzzy sets, or shapes.

TFuzzyInferenceMethod

Defines the fuzzy inference methods available. Fuzzy Inference controls how assertions are combined with facts already on the fact list. Unlike normal inference where new facts may be asserted, fuzzy inference combines the fact already on the fact list with the new fact.

TFuzzyOperation

Defines the method used for finding the intersection (AND) or union (OR) of two fuzzy sets, e.g., hot AND cold or hot OR cold. The default fuzzy operation, Zadeh, is named after fuzzy logic's creator, Lofti Zadeh.

TFuzzySetType

Defines the type/shape of the fuzzy set. The default, fstUserDefined, means that the fuzzy set is arbitrarily shaped.

TFuzzyStreamTokenType

Defines the possible token data types for a fuzzy logic stream that is being tokenized.

TXYUpdateType

Defines what values (X or Y) in a fuzzy set have been updated.

TBaseFuzzyHedgeNames

Defines a type for specifying text strings for the basic hedges.

TFuzzyCorrelationMethodNames

Defines a type for specifying text strings for the fuzzy correlation methods.

TFuzzyCorrelationMethods

Defines a set of the fuzzy correlation method types: minimum and product.

TFuzzyHedgeModifiers

defines an array of floats for each of the fuzzy hedges. This floating point number is intended to be used to modify the shape of the fuzzy set.

TFuzzyHedgeNames

Defines a type for specifying text strings for the fuzzy hedges.

TFuzzyInferenceMethodNames

Defines a type for specifying text strings for the fuzzy inference methods.

TFuzzyInferenceMethods

Defines a set of the fuzzy inference method types.

TFuzzyOperationKeywords

Defines a type for specifying text strings for the fuzzy operations type

TFuzzyStreamTokenTypes

Defines the set of possible token data types for a fuzzy logic stream that is being tokenized.

TXYUpdateTypes

Defines the set of what values (X or Y) in a fuzzy set have been updated.

FuzzyFormatStr

Represents variable FuzzyFormatStr.

LeftFuzzyParentheses

Represents variable LeftFuzzyParentheses.

RightFuzzyParentheses

Represents variable RightFuzzyParentheses.

SEmptyFuzzy

Represents variable SEmptyFuzzy.

BaseHedgeNames

Represents constant BaseHedgeNames.

DefaultNumFunctionValues

Represents constant DefaultNumFunctionValues.

DEMO_CAPACITY

Represents constant DEMO_CAPACITY.

FuzzyCorrelationNameList

Represents constant FuzzyCorrelationNameList.

FuzzyCorrelationNames

Represents constant FuzzyCorrelationNames.

FuzzyCorrelationSuffixNameList

Represents constant FuzzyCorrelationSuffixNameList.

FuzzyFormatStrConst

Represents constant FuzzyFormatStrConst.

FuzzyInferenceNameList

Represents constant FuzzyInferenceNameList.

FuzzyInferenceNames

Represents constant FuzzyInferenceNames.

FuzzyInferenceSuffixNameList

Represents constant FuzzyInferenceSuffixNameList.

FuzzyIntersectionKeywords

Represents constant FuzzyIntersectionKeywords.

FuzzyOperationNames

Represents constant FuzzyOperationNames.

FuzzyUnionKeywords

Represents constant FuzzyUnionKeywords.

HedgeModifiers

Represents constant HedgeModifiers.

HedgeNames

Represents constant HedgeNames.

ONE_THIRD

Represents constant ONE_THIRD.

SBetaArgsExpected

'"Range Center Inflection_Point" or "Range Center Inflection_Point Weight"'

SCurveArgsExpected

'"Left Right Inflection_Point"'

SFuzzyLogicNag

'We hope you are enjoying the evaluation version of the Fuzzy Logic Component Library.'+sLineBreak+'To order the FLCL, please go to www.RiverSoftAVG.com'

SFuzzyLogicNotSet

'Fuzzy Logic component must be specified to parse'

SFuzzyLogicNotTFuzzyLogic

'FuzzyLogic property must be of type TFuzzyLogic or descendant'

SFuzzyLogicNotTIFuzzyLogic

'FuzzyLogic property must be of type TIFuzzyLogic or descendant'

SFuzzySetEmpty

'Invalid operation: "%s". Fuzzy set is empty'

SFzyArgMinNumWrong

'Minimum number of arguments for function, %s, incorrect. Expected %d or more'

SFzyArgNumWrong

'Number of arguments for function, %s, incorrect. Expected "%s"'

SFzyArgTypeWrong

'Data Types of arguments for function, %s, incorrect. Expected %s'

SFzyParseError

'Parsing Error, %s in %s at line %s: "%s"'

SHighFuzzyTerm

'high'

SInvalidFuzzyOperation

'Invalid fuzzy operation: "%s:'

SInvalidFuzzySetName

'Invalid fuzzy set name, "%s" is a reserved word'

SInvalidFuzzyVarName

'Invalid fuzzy variable name, "%s"'

SInvalidRangeArguments

'Invalid range arguments. Left ('+FuzzyFormatStrConst+') is greater than right ('+FuzzyFormatStrConst+')'

SInvalidXRangeIndex

'Invalid index argument to GetXRange. Index = %d'

SLowFuzzyTerm

'low'

SMax3XValues

'Invalid x value. Maximum of 3 values with same X value: '+FuzzyFormatStrConst

SMediumFuzzyTerm

'medium'

SMissingFuzzyVariable

'Missing fuzzy linguistic variable'

SParserUnassigned

'Parser not assigned. Cannot parse'

SPIArgsExpected

'"Left Right Center" or "Range Center"'

STriArgsExpected

'"Left Middle Right"'

SUnknownFunctionName

'Unknown function name: "%s"'

SUnknownFuzzySetName

'Unknown Fuzzy Set name: "%s"'

SUnknownFuzzyVarName

'Unknown Fuzzy Variable name: "%s"'

TWO_THIRDS

Represents constant TWO_THIRDS.

CreateFuzzyName(String,String,String)

Overloaded. Creates a new fuzzy name by concatenating the left fuzzy expression, the connection, and the right fuzzy expression.

CreateFuzzyName(String,String,TFzyFloat)

Overloaded. Creates a new fuzzy name by concatenating the left fuzzy expression, the connection, and a floating point value.

CreateFuzzyName(TBaseFuzzyHedge,Boolean,String)

Overloaded. Creates a new fuzzy name by concatenating the fuzzy expression with the base hedge. The ModifyY parameter specifies whether the hedge modifies Y values or X values.

CreateFuzzyName(TFuzzyHedge,String)

Overloaded. Creates a new fuzzy name by concatenating the fuzzy expression with the hedge.

FormatFuzzyExpression(String)

Creates a new fuzzy expression from the Expression parameter. It ensures that the new expression contains parentheses if needed.

IsFuzzyCorrelation(String,TFuzzyCorrelationMethod)

Returns TRUE if the specified Name string is a correlation name. If it is, the actual correlation type is returned in the Correlation parameter.

IsFuzzyHedge(String)

Overloaded. Returns TRUE if the HedgeName parameter matches a hedge string.

IsFuzzyHedge(String,TFuzzyHedge)

Overloaded. Returns TRUE if the HedgeName parameter matches a hedge string AND returns the Hedge matched.

IsFuzzyHedgeOperator(String)

Overloaded. Returns TRUE if the HedgeName parameter matches a BASE hedge string.

IsFuzzyHedgeOperator(String,TBaseFuzzyHedge,Boolean)

Overloaded. Returns TRUE if the HedgeName parameter matches a BASE hedge string, and it returns the base fuzzy hedge matched and whether it was for X or Y (ModifyY parameter).

IsFuzzyInference(String,TFuzzyInferenceMethod)

Returns TRUE if the Name parameter matches a inference method string. It also returns the Fuzzy Inference Method matched in the Implication parameter.

IsFuzzyKeyword(String,Boolean,TFuzzyOperation)

Returns TRUE if the Keyword parameter matches an intersection or union keyword string, e.g., 'and', 'or', 'and-mean', etc. It also returns the Fuzzy Operation Type, and whether it is a Union or Intersection, matched in the OperationType and Union parameters.

IsFuzzyOperation(String,TFuzzyOperation)

Returns TRUE if the Keyword parameter matches an operation type string, e.g., 'zadeh','mean', 'mean-sqr', 'bounded-sum' etc. It also returns the Operation matched in the Operation parameter.