RuleBase

java.lang.Object
- keel.Algorithms.Fuzzy_Rule_Learning.Genetic.ClassifierFuzzySGERD.RuleBase

```
public class RuleBase
extends java.lang.Object
```
This class contains the representation of a Rule Set

Since:

JDK1.5

Version:

1.1

Author:

Written by Alberto Fernández (University of Granada) 29/10/2007, Modifed by Jesus Alcala (University of Granada) 23/05/2009

Constructor Summary

Constructors
Constructor and Description
`RuleBase()` Default constructor
`RuleBase(DataBase dataBase, myDataset train, int typeEvaluation)` Builds an object for the Rule Base

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`void`	`add(Rule rule)` It adds a new rule to the rule set
`boolean`	`BETTER(int a, int b)` Maximization
`double`	`classify()` It performs the classification process with the current rule set
`RuleBase`	`clone()` Clone Function
`RuleBase`	`cloneEmpty()` It performs a copy of the current RB
`void`	`evaluate()` It evaluates the rule set
`int`	`FRM(double[] example)` Fuzzy Reasoning Method
`Rule`	`get(int pos)` It returns a given rule from the RB
`double`	`getAccuracy()` It returns the accuracy rate for the rule set
`void`	`initialization()` It generates the initial rule set for each partition of the input space (2...L)
`java.lang.String`	`printString()` It prints the rule base into an string
`Rule`	`remove(int pos)` It removes a given rule from the RB
`void`	`removeRules(int nRules)` It removes a prespecified number of rules from the rule set
`void`	`saveFile(java.lang.String filename)` It writes the rule set into a file
`void`	`selection(RuleBase ruleBase, int nRules)` It adds the best rules to a new rule base
`int`	`size()` It returns the size of the Rule Base
`void`	`sort()` It sorts the rule base according to the fitness of the rules

Methods inherited from class java.lang.Object
equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - RuleBase
```
public RuleBase()
```
    Default constructor
  - RuleBase
```
public RuleBase(DataBase dataBase,
                myDataset train,
                int typeEvaluation)
```
    Builds an object for the Rule Base
    
    Parameters:
    
    dataBase - DataBase Data Base
    
    train - myDataset Training set
    
    typeEvaluation - int Code for the evaluation system
- Method Detail
  - BETTER
```
public boolean BETTER(int a,
                      int b)
```
    Maximization
    
    Parameters:
    
    a - int first number
    
    b - int second number
    
    Returns:
    
    boolean true if a is better than b
  - initialization
```
public void initialization()
```
    It generates the initial rule set for each partition of the input space (2...L)
  - size
```
public int size()
```
    It returns the size of the Rule Base
    
    Returns:
    
    int the number of rules
  - add
```
public void add(Rule rule)
```
    It adds a new rule to the rule set
    
    Parameters:
    
    rule - Rule the new rule
  - get
```
public Rule get(int pos)
```
    It returns a given rule from the RB
    
    Parameters:
    
    pos - int the rule id
    
    Returns:
    
    Rule a rule of the RB
  - remove
```
public Rule remove(int pos)
```
    It removes a given rule from the RB
    
    Parameters:
    
    pos - int the rule id
    
    Returns:
    
    Rule the removed rule
  - sort
```
public void sort()
```
    It sorts the rule base according to the fitness of the rules
  - clone
```
public RuleBase clone()
```
    Clone Function
    
    Overrides:
    
    clone in class java.lang.Object
    
    Returns:
    
    a copy of the RuleBase
  - cloneEmpty
```
public RuleBase cloneEmpty()
```
    It performs a copy of the current RB
    
    Returns:
    
    RuleBase a copy of the current RB
  - removeRules
```
public void removeRules(int nRules)
```
    It removes a prespecified number of rules from the rule set
    
    Parameters:
    
    nRules - int the number of rules to remove
  - classify
```
public double classify()
```
    It performs the classification process with the current rule set
    
    Returns:
    
    double the accuracy rate
  - evaluate
```
public void evaluate()
```
    It evaluates the rule set
  - FRM
```
public int FRM(double[] example)
```
    Fuzzy Reasoning Method
    
    Parameters:
    
    example - double[] the input example
    
    Returns:
    
    int the predicted class label (id)
  - getAccuracy
```
public double getAccuracy()
```
    It returns the accuracy rate for the rule set
    
    Returns:
    
    double the accuracy rate for the rule set
  - selection
```
public void selection(RuleBase ruleBase,
                      int nRules)
```
    It adds the best rules to a new rule base
    
    Parameters:
    
    ruleBase - RuleBase a given rule base to insert rules
    
    nRules - int the number of rules to insert
  - printString
```
public java.lang.String printString()
```
    It prints the rule base into an string
    
    Returns:
    
    String an string containing the rule set
  - saveFile
```
public void saveFile(java.lang.String filename)
```
    It writes the rule set into a file
    
    Parameters:
    
    filename - String the name of the file

Class RuleBase

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

RuleBase

RuleBase

Method Detail

BETTER

initialization

size

add

get

remove

sort

clone

cloneEmpty

removeRules

classify

evaluate

FRM

getAccuracy

selection

printString

saveFile