SMNumericFuzzy (ProCAKE Framework 4.0.0 API)

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.

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 double DEFAULT_SPREAD
The default spread value is 1.0.

static String NAME
Name of similarity measure is "NumericFuzzy".
- Fields inherited from interface de.uni_trier.wi2.procake.similarity.SimilarityMeasure
  COMPONENT, COMPONENT_KEY, LOG_ORDER_NAME_NOT_FOUND
- Fields inherited from interface de.uni_trier.wi2.procake.similarity.base.numeric.SMNumeric
  DEFAULT_STRATEGY

Method Summary

All Methods Instance Methods Abstract Methods
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 Detail
  - 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 Detail
  - 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 -