public code v1
This commit is contained in:
Francisco Jesús Martínez Mimbrera
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package flintstones.method.numeric.common.aggregation;
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import org.eclipse.e4.core.services.nls.Translation;
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import flintstones.domain.fuzzyset.FuzzySet;
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import flintstones.domain.numeric.NumericDomain;
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import flintstones.domain.numeric.real.NumericRealDomain;
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import flintstones.entity.method.phase.ImportedDataNotFoundException;
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import flintstones.entity.method.phase.PhaseMethod;
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import flintstones.entity.operator.AggregationOperator;
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import flintstones.entity.problemelement.ProblemElementKey;
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import flintstones.entity.problemelement.entities.Alternative;
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import flintstones.entity.problemelement.entities.Criterion;
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import flintstones.entity.problemelement.entities.Expert;
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import flintstones.entity.problemelement.entities.ProblemElement;
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import flintstones.entity.problemelement.entities.ProblemElementHelper;
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import flintstones.entity.valuation.Valuation;
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import flintstones.helper.data.HashMatrix;
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import flintstones.method.numeric.common.aggregation.messages.Messages;
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import flintstones.model.problemelement.service.IProblemElementService;
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import flintstones.model.valuation.service.IValuationService;
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import flintstones.operator.service.IOperatorService;
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import flintstones.valuation.linguistic.LinguisticValuation;
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import flintstones.valuation.numeric.NumericValuation;
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import flintstones.valuation.numeric.real.RealValuation;
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import java.util.ArrayList;
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import java.util.HashMap;
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import java.util.LinkedHashMap;
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import java.util.LinkedList;
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import javax.inject.Inject;
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public class NumericAggregation extends PhaseMethod {
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@Inject
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IProblemElementService problemService;
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@Inject
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IOperatorService operatorService;
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@Inject
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IValuationService valuationService;
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@Inject
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@Translation
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Messages msg;
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/**
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* Problem alternatives
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*/
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Alternative[] allAlternatives;
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/**
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* Problem criteria
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*/
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Criterion[] allCriteria;
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/**
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* Problem experts
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*/
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Expert[] allExperts;
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/**
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* Collected valuations for [expert][alternative][criterion]
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*/
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NumericValuation[][][] initialValuations;
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/**
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* Expert given criteria weights
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*/
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HashMatrix<Expert, Criterion, Double> initialCritWeights;
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/**
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* Experts weights
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*/
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HashMap<ProblemElement, Double> expertsWeights;
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/**
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* Aggregated valuations
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*/
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HashMatrix<Alternative, Criterion, Valuation> aggregatedValuations;
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/**
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* Aggregated criteria weights
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*/
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HashMap<ProblemElement, Double> aggregatedCriteriaWeights;
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/**
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* @return Phase name
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*/
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@Override
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public String getName() {
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return msg.phase_name;
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}
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/**
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* Get data from previous phases and initial valuations
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*/
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@SuppressWarnings("unchecked")
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public void loadData() {
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allAlternatives = ProblemElementHelper.asAlternatives(problemService.getAll(Alternative.Type));
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allCriteria = ProblemElementHelper.asCriterions(problemService.getSubElements(Criterion.Type));
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allExperts = ProblemElementHelper.asExperts(problemService.getSubElements(Expert.Type));
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try {
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initialCritWeights = (HashMatrix<Expert, Criterion, Double>) this.getPreviousPhase().importData("criterionWeights");
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expertsWeights = (HashMap<ProblemElement, Double>) importData("expertWeights");
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} catch (ImportedDataNotFoundException e) {
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initialCritWeights = (HashMatrix<Expert, Criterion, Double>) importData("criterionWeights");
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expertsWeights = (HashMap<ProblemElement, Double>) this.getPreviousPhase().importData("expertWeights");
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}
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if(allExperts.length == 1)
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aggregatedCriteriaWeights = new LinkedHashMap<>(initialCritWeights.get(allExperts[0]));
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else
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aggregatedCriteriaWeights = new LinkedHashMap<ProblemElement, Double>();
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initialValuations = new NumericValuation[allExperts.length][allAlternatives.length][allCriteria.length];
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aggregatedValuations = new HashMatrix<Alternative, Criterion, Valuation>();
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loadValuations();
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}
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/**
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* Gets initial valuations casted to NumericValuation
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*/
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private void loadValuations() {
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ProblemElementKey key;
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Valuation auxValuation;
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ArrayList<String> labels;
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NumericRealDomain auxDomain;
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for (int e = 0; e < allExperts.length; e++) {
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for (int a = 0; a < allAlternatives.length; a++) {
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for (int c = 0; c < allCriteria.length; c++) {
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// Find every valuation
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key = new ProblemElementKey(allExperts[e], allAlternatives[a], allCriteria[c]);
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auxValuation = valuationService.getValuationFor(key);
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// if not real number valuation
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if (!auxValuation.getDomain().getType().equals("flintstones.domain.numeric.real")) {
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double value;
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double dMax, dMin;
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// if linguistic
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if (auxValuation.getDomain().getType().equals("flintstones.domain.linguistic")) {
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labels = ((FuzzySet) auxValuation.getDomain()).getLabelSet().getLabelsName();
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// use label index as value
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value = labels.indexOf(((LinguisticValuation) auxValuation).getLabel().getName());
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dMin = 0;
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dMax = labels.size();
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} else { // other numeric type
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value = ((NumericValuation) auxValuation).getValue();
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NumericDomain temp = (NumericDomain) auxValuation.getDomain();
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dMin = temp.getMin();
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dMax = temp.getMax();
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}
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auxDomain = new NumericRealDomain();
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auxDomain.setMinMax(dMin, dMax);
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auxDomain.setInRange(true);
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auxValuation = new RealValuation();
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auxValuation.setDomain(auxDomain);
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auxValuation.setValueFromString(Double.toString(value));
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}
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if (e == 0) {
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aggregatedValuations.put(allAlternatives[a], allCriteria[c], auxValuation);
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}
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initialValuations[e][a][c] = (NumericValuation) auxValuation;
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}
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}
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}
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}
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/**
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* Calculate aggregated valuations
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*
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* @param operatorId ID for aggregation operator
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*/
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public void computeAggregatedMatrix(AggregationOperator operator) {
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LinkedList<Valuation> valuations = new LinkedList<>();
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for (int a = 0; a < allAlternatives.length; a++) {
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for (int c = 0; c < allCriteria.length; c++) {
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for (int e = 0; e < allExperts.length; e++)
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valuations.add(initialValuations[e][a][c]);
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Valuation aggregated = (NumericValuation) operator.computeAggregation(valuations, new ArrayList<Double>(expertsWeights.values()));
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aggregatedValuations.put(allAlternatives[a], allCriteria[c], aggregated);
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valuations.clear();
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}
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}
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}
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/**
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* Calculate aggregated weights
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*
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* @param operatorId ID for aggregation operator
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*/
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public void computeAggregatedWeights(AggregationOperator operator) {
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ArrayList<Valuation> wTemp = new ArrayList<>();
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NumericValuation temp;
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NumericRealDomain dTemp = new NumericRealDomain();
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dTemp.setInRange(true);
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dTemp.setMinMax(0.0, 1.0);
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for (int c = 0; c < allCriteria.length; c++) {
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for (int e = 0; e < allExperts.length; e++) {
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temp = new RealValuation();
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temp.setDomain(dTemp);
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temp.setValue(initialCritWeights.get(allExperts[e], allCriteria[c]));
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wTemp.add(temp);
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}
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temp = (NumericValuation) operator.computeAggregation(wTemp, new ArrayList<Double>(expertsWeights.values()));
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aggregatedCriteriaWeights.put(allCriteria[c], Math.round(temp.getValue() * 1000d) / 1000d);
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wTemp.clear();
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}
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}
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/**
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* Exports aggregated data for next phases
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*/
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public void exportData() {
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this.exportData("criterionWeights", aggregatedCriteriaWeights, true);
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this.exportData("decisionmatrix", aggregatedValuations, true);
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}
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/**
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* @return Problem alternatives
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*/
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public Alternative[] getAlternatives() {
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return allAlternatives;
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}
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/**
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* @return Problem criteria
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*/
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public Criterion[] getCriteria() {
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return allCriteria;
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}
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/**
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* @return All alternatives names as array
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*/
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public String[] getAlternativesNames() {
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String[] str = new String[allAlternatives.length];
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for (int i = 0; i < allAlternatives.length; i++)
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str[i] = problemService.getByName(Alternative.Type, allAlternatives[i].getName()).getName();
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return str;
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}
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/**
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* @return All criteria names as array
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*/
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public String[] getCriteriaNames() {
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String[] str = new String[allCriteria.length];
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for (int i = 0; i < allCriteria.length; i++)
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str[i] = problemService.getByName(Criterion.Type, allCriteria[i].getName()).getName();
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return str;
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}
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/**
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* @return All expert names as array
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*/
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public String[] getExpertsNames() {
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String[] str = new String[allExperts.length];
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for (int i = 0; i < allExperts.length; i++)
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str[i] = problemService.getByName(Expert.Type, allExperts[i].getName()).getName();
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return str;
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}
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/**
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* @return Number of criteria
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*/
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public int numberCriteria() {
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return allCriteria.length;
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}
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/**
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* @return Number of experts
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*/
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public int numberExperts() {
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return allExperts.length;
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}
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/**
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* @param expert Expert index
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* @param alternative Alternative index
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* @param criterion Criterion index
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* @return Collected valuation value
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*/
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public double getInitialData(int expert, int alternative, int criterion) {
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return initialValuations[expert][alternative][criterion].getValue();
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}
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/**
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* @param alternative Alternative index
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* @param criterion Criterion index
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* @return Aggregated valuation value
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*/
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public double getAggregatedData(int alternative, int criterion) {
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return Math.round(
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((NumericValuation) aggregatedValuations.get(allAlternatives[alternative], allCriteria[criterion]))
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.getValue() * 1000d)
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/ 1000d;
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}
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/**
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* @param expertIndex Expert index
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* @return Criteria weights for the expert
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*/
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public HashMap<Criterion, Double> getValuationWeights(int expertIndex) {
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return initialCritWeights.get(allExperts[expertIndex]);
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}
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/**
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* @param c Criterion index
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* @return Aggregated criterion weight
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*/
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public double getAggCritWeight(int c) {
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return aggregatedCriteriaWeights.get(allCriteria[c]);
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}
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}
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+8
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package flintstones.method.numeric.common.aggregation.messages;
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import org.eclipse.e4.core.services.nls.Message;
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@Message
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public class Messages {
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public String phase_name;
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}
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+1
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phase_name=Aggregation
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+1
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phase_name=Agregación
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