Package de.uni_trier.wi2.procake.similarity.base.numeric

Interface SMNumericFuzzy

All Superinterfaces:

SimilarityMeasure, SMNumeric

All Known Implementing Classes:

SMNumericFuzzyImpl

public interface SMNumericFuzzy
extends SMNumeric

Is providing fuzzy similarity functionality, according to the paper: Case-based Reasoning for Diagnosis of Stress using Enhanced Cosine and Fuzzy Similarity; by M. U. Ahmed, S. Begum, P. Funk, N. Xiong, B. V. Schéele, See paper page 13 for a visual description.

A spread per value is defined, which allows triangle-areas on those values. If the areas of the compared values overlap, this indicates a similarity. max (Overlap/area1, Overlap/area2) is then similarity. *

A more detailed description can be found in the wiki. This measure cannot be used with chronological objects.

Author:

Alexander Stromer, Alexander Schultheis

Nested Class Summary

Nested classes/interfaces inherited from interface de.uni_trier.wi2.procake.similarity.base.numeric.SMNumeric

SMNumeric.ZERO_OUT_STRATEGIES

Field Summary

Fields

Modifier and Type	Field	Description
static final double	DEFAULT_SPREAD	The default spread value is 1.0.
static final String	NAME	Name of similarity measure is "NumericFuzzy".

Fields inherited from interface de.uni_trier.wi2.procake.similarity.SimilarityMeasure

LOG_ORDER_NAME_NOT_FOUND

Fields inherited from interface de.uni_trier.wi2.procake.similarity.base.numeric.SMNumeric

DEFAULT_STRATEGY

Method Summary

Modifier and Type	Method	Description
double	getSpread()	gets the spread of the fuzzy similarity
void	setSpread(double spread)	sets the spread of the fuzzy similarity

Methods inherited from interface de.uni_trier.wi2.procake.similarity.SimilarityMeasure

compute, getDataClass, getName, getSystemName, isForceOverride, isReusable, setForceOverride

Methods inherited from interface de.uni_trier.wi2.procake.similarity.base.numeric.SMNumeric

getAsymmetricStrategy, setAsymmetricStrategy

Field Details

NAME

static final String NAME

Name of similarity measure is "NumericFuzzy".

See Also:

• Constant Field Values

DEFAULT_SPREAD

static final double DEFAULT_SPREAD

The default spread value is 1.0.

See Also:

• Constant Field Values

Method Details

getSpread

double getSpread()

gets the spread of the fuzzy similarity

Returns:

setSpread

void setSpread(double spread)

sets the spread of the fuzzy similarity

Parameters:

spread -