Strategy (ProCAKE Framework 4.0.0 API)

java.lang.Object
- org.apache.commons.lang.enums.Enum
- - de.uni_trier.wi2.procake.similarity.base.Strategy

All Implemented Interfaces:

Serializable, Comparable
```
public class Strategy
extends org.apache.commons.lang.enums.Enum
```
Dealing with Vague Knowledge

In situations where no value is assigned to an attribute it is necessary to distinguish different strategies to compute the similarity value. Three kinds of strategies can be distinguished:

Optimistic Strategy:
In an optimistic strategy it is assumed Optimistic that unknown values argue for similarity.
Pessimistic Strategy:
In a pessimistic strategy it is assumed that unknown values argue against similarity.
Average Strategy:
In an average strategy it is assumed that unknown values argue for similarity value of E. This strategy requires calculating an expectancy value E which is not always possible.

Author:

Rainer Maximini

See Also:

Serialized Form

Field Summary

Fields
Modifier and Type	Field	Description
`static Strategy`	`AVERAGE`	In an average strategy it is assumed that unknown values argue for similarity value of E.
`static Strategy`	`OPTIMISTIC`	In an optimistic strategy it is assumed Optimistic that unknown values argue for similarity.
`static Strategy`	`PESSIMISTIC`	In a pessimistic strategy it is assumed that unknown values argue against similarity.

Fields inherited from class org.apache.commons.lang.enums.Enum
iToString

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type Method Description

static Strategy fromString(String value)

String toString()
- Methods inherited from class org.apache.commons.lang.enums.Enum
  compareTo, equals, getEnum, getEnumClass, getEnumList, getEnumMap, getName, hashCode, iterator, readResolve
- Methods inherited from class java.lang.Object
  clone, finalize, getClass, notify, notifyAll, wait, wait, wait

- Field Detail
  - AVERAGE
```
public static final Strategy AVERAGE
```
    In an average strategy it is assumed that unknown values argue for similarity value of E. This strategy requires calculating an expectancy value E which is not always possible.
  - OPTIMISTIC
```
public static final Strategy OPTIMISTIC
```
    In an optimistic strategy it is assumed Optimistic that unknown values argue for similarity.
  - PESSIMISTIC
```
public static final Strategy PESSIMISTIC
```
    In a pessimistic strategy it is assumed that unknown values argue against similarity.
- Method Detail
  - fromString
```
public static Strategy fromString(String value)
```
  - toString
```
public String toString()
```
    Overrides:
    
    toString in class org.apache.commons.lang.enums.Enum