public code v1

This commit is contained in:
Francisco Jesús Martínez Mimbrera
2026-05-23 00:32:57 +02:00
commit 759a8968a2
4357 changed files with 163763 additions and 0 deletions
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<classpathentry kind="src" path="src"/>
<classpathentry kind="output" path="bin"/>
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<artifactId>flintstones.method.vikor.phase.result</artifactId>
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<packaging>eclipse-plugin</packaging>
<name>[bundle] Result</name>
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<?xml version="1.0" encoding="UTF-8"?>
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<name>flintstones.method.vikor.phase.result</name>
<comment></comment>
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@@ -0,0 +1,2 @@
eclipse.preferences.version=1
encoding/<project>=UTF-8
@@ -0,0 +1,9 @@
eclipse.preferences.version=1
org.eclipse.jdt.core.compiler.codegen.targetPlatform=11
org.eclipse.jdt.core.compiler.compliance=11
org.eclipse.jdt.core.compiler.problem.assertIdentifier=error
org.eclipse.jdt.core.compiler.problem.enablePreviewFeatures=disabled
org.eclipse.jdt.core.compiler.problem.enumIdentifier=error
org.eclipse.jdt.core.compiler.problem.reportPreviewFeatures=warning
org.eclipse.jdt.core.compiler.release=enabled
org.eclipse.jdt.core.compiler.source=11
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activeProfiles=
eclipse.preferences.version=1
resolveWorkspaceProjects=true
version=1
@@ -0,0 +1,21 @@
Manifest-Version: 1.0
Bundle-ManifestVersion: 2
Bundle-Name: %Bundle-Name
Bundle-SymbolicName: flintstones.method.vikor.phase.result;singleton:=true
Bundle-Version: 1.0.0.qualifier
Automatic-Module-Name: flintstones.method.vikor.phase.result
Bundle-RequiredExecutionEnvironment: JavaSE-11
Require-Bundle: org.eclipse.e4.core.contexts,
javax.inject,
flintstones.model.valuation.service,
flintstones.model.problemelement.service,
flintstones.entity.problemelement,
flintstones.model.domain.service,
flintstones.entity.method.phase,
flintstones.helper.data,
flintstones.operator,
flintstones.valuation.numeric,
flintstones.valuation.linguistic,
flintstones.model.domain.provider,
flintstones.entity.valuation
Export-Package: flintstones.method.vikor.phase.result
@@ -0,0 +1,2 @@
#Properties file for flintstones.method.vikor.phase.result
Bundle-Name = Result
@@ -0,0 +1,7 @@
source.. = src/
output.. = bin/
bin.includes = META-INF/,\
.,\
plugin.xml,\
OSGI-INF/l10n/bundle.properties,\
OSGI-INF/
@@ -0,0 +1,12 @@
<?xml version="1.0" encoding="UTF-8"?>
<?eclipse version="3.4"?>
<plugin>
<extension
point="flintstones.phasemethod.extensionpoint">
<phase
implementation="flintstones.method.vikor.phase.result.VikorResult"
uid="flintstones.method.vikor.phase.result">
</phase>
</extension>
</plugin>
@@ -0,0 +1,413 @@
package flintstones.method.vikor.phase.result;
import java.util.ArrayList;
import java.util.Collections;
import java.util.HashMap;
import java.util.List;
import javax.inject.Inject;
import flintstones.entity.method.phase.PhaseMethod;
import flintstones.entity.problemelement.entities.Alternative;
import flintstones.entity.problemelement.entities.Criterion;
import flintstones.entity.problemelement.entities.ProblemElement;
import flintstones.entity.problemelement.entities.ProblemElementHelper;
import flintstones.entity.valuation.Valuation;
import flintstones.helper.data.HashMatrix;
import flintstones.model.domain.service.IDomainService;
import flintstones.model.problemelement.service.IProblemElementService;
import flintstones.model.valuation.service.IValuationService;
import flintstones.operator.service.IOperatorService;
import flintstones.valuation.numeric.NumericValuation;
/**
* Fase de resultados para el metodo VIKOR
*/
public class VikorResult extends PhaseMethod {
@Inject
IProblemElementService problemService;
@Inject
IOperatorService operatorService;
@Inject
IValuationService valuationService;
@Inject
IDomainService domainService;
/**
* @param <K> Clave del par
* @param <V> Valor del par usada para comparar
*/
public class Pair<K, V extends Comparable<V>> implements Comparable<Pair<K, V>> {
public K key;
public V value;
public Pair(K key, V value) {
this.key = key;
this.value = value;
}
@Override
public int compareTo(Pair<K, V> o) {
return value.compareTo((V) o.value);
}
}
/**
* Valor Q del problema
*/
public double q = 0.5;
/**
* Tipo de ranking para la solucion
*/
public char tipo = 'Q';
/**
* Todas las alternativas en el problema
*/
Alternative[] allAlternatives;
/**
* Todos los criterios en el problema
*/
Criterion[] allCriterion;
/**
* Valoraciones agregadas de cada alternativa y criterio
*/
HashMatrix<Alternative, Criterion, Valuation> matriz;
/**
* Pesos de cada criterio agregados
*/
HashMap<ProblemElement, Double> aggregatedWeights;
/**
* Mejores y peores valoraciones de cada criterio
*/
double[] bestValuation, worstValuation;
// Variables empleadas en el procedimiento del metodo
NumericValuation[][] matrizFase1;
double[] Si, Ri, Qi;
double minS = Double.MAX_VALUE, minR = Double.MAX_VALUE, maxS = Double.MIN_VALUE, maxR = Double.MIN_VALUE;
double DQ;
/**
* Ranking de cada alternativa basada en su valor Qi
*/
ArrayList<Pair<Integer, Double>> rankingQ;
/**
* Ranking de cada alternativa basada en su valor Si
*/
ArrayList<Pair<Integer, Double>> rankingS;
/**
* Ranking de cada alternativa basada en su valor Ri
*/
ArrayList<Pair<Integer, Double>> rankingR;
@Override
public String getName() {
return "VIKOR result";
}
/**
* Carga los datos del problema y de la fase anterior
*/
@SuppressWarnings("unchecked")
public void LoadData() {
allAlternatives = ProblemElementHelper.asAlternatives(problemService.getAll(Alternative.Type));
allCriterion = ProblemElementHelper.asCriterions(problemService.getAll(Criterion.Type));
aggregatedWeights = (HashMap<ProblemElement, Double>) importData("criterionWeights");
matriz = (HashMatrix<Alternative, Criterion, Valuation>) importData("decisionmatrix");
matrizFase1 = new NumericValuation[allAlternatives.length][allCriterion.length];
bestValuation = new double[allCriterion.length];
worstValuation = new double[allCriterion.length];
Si = new double[allAlternatives.length];
Ri = new double[allAlternatives.length];
Qi = new double[allAlternatives.length];
rankingQ = new ArrayList<>();
rankingS = new ArrayList<>();
rankingR = new ArrayList<>();
}
/**
* Aplica las diferentes fases del metodo
*
* @return Indice de la ultima alternativa del ranking que forma parte de la
* solucion
*/
public int calcular() {
rankingQ.clear();
rankingR.clear();
rankingS.clear();
if (calculoFase1() == -1) {
return -2;
}
calculoFase2();
return calculoFinal();
}
/**
* Primera fase del metodo. Calcula mejores y peores valoraciones, y los valores
* Si y Ri de cada alternativa
*/
private int calculoFase1() {
// Calculo de los mejores y los peores
for (int c = 0; c < matrizFase1[0].length; c++) {
if (!allCriterion[c].isCost()) {
bestValuation[c] = Double.MIN_VALUE;
worstValuation[c] = Double.MAX_VALUE;
} else {
bestValuation[c] = Double.MAX_VALUE;
worstValuation[c] = Double.MIN_VALUE;
}
for (int a = 0; a < matrizFase1.length; a++) {
if (!allCriterion[c].isCost()) {// Maximizar
double tempVal = ((NumericValuation) matriz.get(allAlternatives[a], allCriterion[c])).getValue();
if (bestValuation[c] < tempVal) {
bestValuation[c] = tempVal;
}
if (worstValuation[c] > tempVal) {
worstValuation[c] = tempVal;
}
} else {// Minimizar
double tempVal = ((NumericValuation) matriz.get(allAlternatives[a], allCriterion[c])).getValue();
if (bestValuation[c] > tempVal) {
bestValuation[c] = tempVal;
}
if (worstValuation[c] < tempVal) {
worstValuation[c] = tempVal;
}
}
}
}
// Para cada alternativa
for (int a = 0; a < matrizFase1.length; a++) {
Si[a] = 0;
Ri[a] = Double.MIN_VALUE;
// Para cada criterio
for (int c = 0; c < matrizFase1[0].length; c++) {
matrizFase1[a][c] = (NumericValuation) matriz.get(allAlternatives[a], allCriterion[c]).clone();
double temp = ((NumericValuation) matriz.get(allAlternatives[a], allCriterion[c])).getValue();
double t1 = bestValuation[c] - temp;
double t2 = bestValuation[c] - worstValuation[c];
temp = t1 / t2;
if (t2 == 0)
return -1;
temp *= aggregatedWeights.get(allCriterion[c]);
// Calcula el valor y se guarda en las estructuras correspondientes
matrizFase1[a][c].setValue(temp);
Si[a] += temp;
if (temp > Ri[a]) {
Ri[a] = temp;
}
}
}
return 0;
}
/**
* Segunda fase del metodo. Calcula valores Qi y rankings
*/
private void calculoFase2() {
// Obtiene los mejores y peores valores Si y Ri
for (int i = 0; i < allAlternatives.length; i++) {
if (Si[i] < minS) {
minS = Si[i];
}
if (Si[i] > maxS) {
maxS = Si[i];
}
if (Ri[i] < minR) {
minR = Ri[i];
}
if (Ri[i] > maxR) {
maxR = Ri[i];
}
}
// Aade cada alternativa a su ranking
for (int i = 0; i < allAlternatives.length; i++) {
double temp1 = this.q * ((Si[i] - minS) / (maxS - minS));
double temp2 = (1 - this.q) * ((Ri[i] - minR) / (maxR - minR));
Qi[i] = temp1 + temp2;
rankingQ.add(new Pair<Integer, Double>(i, Qi[i]));
rankingR.add(new Pair<Integer, Double>(i, Ri[i]));
rankingS.add(new Pair<Integer, Double>(i, Si[i]));
}
// Ordena los rankings de menor a mayor valor
Collections.sort(rankingQ);
Collections.sort(rankingR);
Collections.sort(rankingS);
}
/**
* Calculo final. Obtiene el indice de la ultima alternativa que forma parte de
* la solucion
*
* @return Indice de la alternativa
*/
private int calculoFinal() {
List<Pair<Integer, Double>> ranking;
switch (tipo) {
case 'S':
ranking = rankingS;
break;
case 'R':
ranking = rankingR;
break;
default:
ranking = rankingQ;
break;
}
if (ranking.get(0).value < 0) {
return -1;
}
DQ = (1.0 / ((double) allAlternatives.length - 1.0));
// C1: Si la alternativa de mejor rango tiene ventaja aceptable
if ((ranking.get(1).value - ranking.get(0).value) >= DQ) {
// C2: Si esa alternativa tiene estabilidad aceptable
if (minS == Si[ranking.get(0).key] || minR == Ri[ranking.get(0).key]) {
// A1 es la solucion
return 0;
} else {
// A1 y A2 es la solucion
return 1;
}
}
// Si C1 no se cumple, comprueba las siguientes alternativas
int i = 1;
while (i < ranking.size()) {
// La alternativa que no entre en la solucion sera aquella que no tiene ventaja
// aceptable
if ((ranking.get(i).value - ranking.get(0).value) >= DQ) {
return i - 1;
}
i++;
}
return i - 1;
}
public ArrayList<Pair<Integer, Double>> getRankingQ() {
return rankingQ;
}
public ArrayList<Pair<Integer, Double>> getRankingR() {
return rankingR;
}
public ArrayList<Pair<Integer, Double>> getRankingS() {
return rankingS;
}
/**
* @return Ranking seleccionado para el calculo de la solucion
*/
public ArrayList<Pair<Integer, Double>> getRankingSeleccionado() {
if (tipo == 'Q') {
return rankingQ;
} else if (tipo == 'S') {
return rankingS;
} else {
return rankingR;
}
}
public Alternative[] getAlternatives() {
return allAlternatives;
};
public double getValuation(int a, int c) {
return ((NumericValuation) matriz.get(allAlternatives[a], allCriterion[c])).getValue();
}
public Criterion[] getCriterions() {
return allCriterion;
}
public double[] getBestValuations() {
return bestValuation;
}
public double[] getWorstValuations() {
return worstValuation;
}
public double getValueMatrizFase1(int a, int c) {
try {
return matrizFase1[a][c].getValue();
} catch (NullPointerException e) {
return Double.NaN;
}
}
public double[] getSValues() {
return Si;
}
public double[] getRValues() {
return Ri;
}
public double[] getQValues() {
return Qi;
}
public double getDQ() {
return DQ;
}
/**
* @return Ranking Q como array de enteros
*/
public int[] getRankQArray() {
int[] temp = new int[rankingQ.size()];
for (int i = 0; i < rankingQ.size(); i++) {
temp[i] = rankingQ.get(i).key;
}
return temp;
}
/**
* @return Ranking S como array de enteros
*/
public int[] getRankSArray() {
int[] temp = new int[rankingS.size()];
for (int i = 0; i < rankingS.size(); i++) {
temp[i] = rankingS.get(i).key;
}
return temp;
}
/**
* @return Ranking R como array de enteros
*/
public int[] getRankRArray() {
int[] temp = new int[rankingR.size()];
for (int i = 0; i < rankingR.size(); i++) {
temp[i] = rankingR.get(i).key;
}
return temp;
}
}