nrc.fuzzy
Class NormModifier

java.lang.Object
  |
  +--nrc.fuzzy.ModifierFunction
        |
        +--nrc.fuzzy.NormModifier

All Implemented Interfaces:

java.io.Serializable

public class NormModifier

extends ModifierFunction

implements java.io.Serializable

Concrete implementaion of the norm modifier which normalizes a FuzzyValue/FuzzySet. Consider the following example:

Description	Visual Representation
Norm: the NORM modifier returns the normalized FuzzyValue. Normalizing the FuzzyValue refers to scaling it so that at least one point on the FuzzyValue has a membership value of 1.0. FuzzyValue passed as its argument.	Before Normalization After Normalization

See Also:

ModifierFunction, Modifiers, Serialized Form

Field Summary

Fields inherited from class nrc.fuzzy.ModifierFunction

DELTA_X, DELTA_Y, deltaX, deltaY, NUMBER_OF_POINTS, numberOfPoints, precisionControlType

Constructor Summary

NormModifier()

NormModifier(java.lang.String s)

Method Summary

nrc.fuzzy.FuzzySet	call(nrc.fuzzy.FuzzySet a) Returns a new FuzzySet object which represents the normalized FuzzySet argument.
nrc.fuzzy.FuzzyValue	call(nrc.fuzzy.FuzzyValue fv) Returns a new FuzzyValue object which represents the normalized FuzzyValue argument.

Methods inherited from class nrc.fuzzy.ModifierFunction

concentrateDilute, expandSet, getName, setDeltaXPrecision, setDeltaYPrecision, setNumberOfPointsPrecision, setPrecisionControlType

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

NormModifier

public NormModifier()

NormModifier

public NormModifier(java.lang.String s)

Method Detail

call

public nrc.fuzzy.FuzzyValue call(nrc.fuzzy.FuzzyValue fv)

Returns a new FuzzyValue object which represents the normalized FuzzyValue argument. Normalization involves identifying the point in the FuzzyValue with the highest membership value and multiplying all the membership values in the FuzzyValue by a scale factor such that this highest point then has a membership value of 1.0.

Specified by:

call in class ModifierFunction

Parameters:

fv - the FuzzyValue to normalize

Returns:

a new FuzzyValue object which represents the FuzzyValue argument after it has been normalized. This new FuzzyValue object has the same FuzzyVariable as the FuzzyValue argument.

See Also:

ModifierFunction

call

public nrc.fuzzy.FuzzySet call(nrc.fuzzy.FuzzySet a)

Returns a new FuzzySet object which represents the normalized FuzzySet argument. Normalization involves identifying the point in the FuzzySet with the highest membership value and multiplying all the membership values in the FuzzySet by a scale factor such that this highest point then has a membership value of 1.0.

Specified by:

call in class ModifierFunction

Parameters:

a - the fuzzy set to be modified

Returns:

a new FuzzySet object which represents the FuzzySet argument after it has been normalized.

See Also:

ModifierFunction