com.ibm.able.rules
Class AbleFuzzyCurveMatchLib

java.lang.Object
  com.ibm.able.rules.AbleFuzzyCurveMatchLib

All Implemented Interfaces:

java.io.Serializable

public class AbleFuzzyCurveMatchLib

extends java.lang.Object

implements java.io.Serializable

This class provides a set of functions for using fuzzy logic to reason about time-series data.

See Also:

Serialized Form

Constructor Summary

AbleFuzzyCurveMatchLib()
Create a new

Method Summary

void	matchCurve(AbleRuleSet ars, java.lang.String fuzzVar1, java.lang.String fuzzSet1, java.lang.String fuzzVar2, java.lang.String fuzzSet2, java.lang.String fuzzVar3, double tol1, double tol2) Determine the absolute value of a number.
void	replaceSetCurve(AbleRuleSet theRuleSet, java.lang.String theFuzzyVariableName, java.lang.String theFuzzySetName, double[] theTruthValues)

Methods inherited from class java.lang.Object

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

Constructor Detail

AbleFuzzyCurveMatchLib

public AbleFuzzyCurveMatchLib()

Create a new

Method Detail

matchCurve

public void matchCurve(AbleRuleSet ars,
                       java.lang.String fuzzVar1,
                       java.lang.String fuzzSet1,
                       java.lang.String fuzzVar2,
                       java.lang.String fuzzSet2,
                       java.lang.String fuzzVar3,
                       double tol1,
                       double tol2)
                throws AbleException

Determine the absolute value of a number.

Parameters:

ars - stuff

Returns:

nuttin

Throws:

AbleException

replaceSetCurve

public void replaceSetCurve(AbleRuleSet theRuleSet,
                            java.lang.String theFuzzyVariableName,
                            java.lang.String theFuzzySetName,
                            double[] theTruthValues)
                     throws AbleException

Throws:

AbleException