public code v1

2026-05-23 00:32:57 +02:00
commit 759a8968a2
4357 changed files with 163763 additions and 0 deletions
@@ -0,0 +1,7 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<classpath>
+	<classpathentry kind="con" path="org.eclipse.jdt.launching.JRE_CONTAINER/org.eclipse.jdt.internal.debug.ui.launcher.StandardVMType/JavaSE-1.8"/>
+	<classpathentry kind="con" path="org.eclipse.pde.core.requiredPlugins"/>
+	<classpathentry kind="src" path="src"/>
+	<classpathentry kind="output" path="bin"/>
+</classpath>
@@ -0,0 +1,14 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd" xmlns="http://maven.apache.org/POM/4.0.0"
+    xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
+  <modelVersion>4.0.0</modelVersion>
+  <parent>
+    <groupId>flintstones.group</groupId>
+    <artifactId>flintstones.bundles</artifactId>
+    <version>1.0.0-SNAPSHOT</version>
+  </parent>
+  <artifactId>flintstones.operator.aggregation.arithmeticmean</artifactId>
+  <version>1.0.0-SNAPSHOT</version>
+  <packaging>eclipse-plugin</packaging>
+  <name>[bundle] Arithmetic Mean</name>
+</project>
@@ -0,0 +1,45 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<projectDescription>
+	<name>flintstones.operator.aggregation.arithmeticmean</name>
+	<comment></comment>
+	<projects>
+	</projects>
+	<buildSpec>
+		<buildCommand>
+			<name>org.eclipse.jdt.core.javabuilder</name>
+			<arguments>
+			</arguments>
+		</buildCommand>
+		<buildCommand>
+			<name>org.eclipse.pde.ManifestBuilder</name>
+			<arguments>
+			</arguments>
+		</buildCommand>
+		<buildCommand>
+			<name>org.eclipse.pde.SchemaBuilder</name>
+			<arguments>
+			</arguments>
+		</buildCommand>
+		<buildCommand>
+			<name>org.eclipse.m2e.core.maven2Builder</name>
+			<arguments>
+			</arguments>
+		</buildCommand>
+	</buildSpec>
+	<natures>
+		<nature>org.eclipse.m2e.core.maven2Nature</nature>
+		<nature>org.eclipse.pde.PluginNature</nature>
+		<nature>org.eclipse.jdt.core.javanature</nature>
+	</natures>
+	<filteredResources>
+		<filter>
+			<id>1779484362731</id>
+			<name></name>
+			<type>30</type>
+			<matcher>
+				<id>org.eclipse.core.resources.regexFilterMatcher</id>
+				<arguments>node_modules|\.git|__CREATED_BY_JAVA_LANGUAGE_SERVER__</arguments>
+			</matcher>
+		</filter>
+	</filteredResources>
+</projectDescription>
@@ -0,0 +1,2 @@
+eclipse.preferences.version=1
+encoding/<project>=UTF-8
@@ -0,0 +1,8 @@
+eclipse.preferences.version=1
+org.eclipse.jdt.core.compiler.codegen.inlineJsrBytecode=enabled
+org.eclipse.jdt.core.compiler.codegen.targetPlatform=1.8
+org.eclipse.jdt.core.compiler.compliance=1.8
+org.eclipse.jdt.core.compiler.problem.assertIdentifier=error
+org.eclipse.jdt.core.compiler.problem.enumIdentifier=error
+org.eclipse.jdt.core.compiler.release=disabled
+org.eclipse.jdt.core.compiler.source=1.8
@@ -0,0 +1,4 @@
+activeProfiles=
+eclipse.preferences.version=1
+resolveWorkspaceProjects=true
+version=1
@@ -0,0 +1,25 @@
+Manifest-Version: 1.0
+Bundle-ManifestVersion: 2
+Bundle-Name: Arithmetic Mean
+Bundle-SymbolicName: flintstones.operator.aggregation.arithmeticmean;singleton:=true
+Bundle-Version: 1.0.0.qualifier
+Automatic-Module-Name: flintstones.operator.aggregation.arithmeticmean
+Bundle-RequiredExecutionEnvironment: JavaSE-11
+Require-Bundle: flintstones.operator,
+ flintstones.entity.valuation,
+ flintstones.model.valuation.service,
+ flintstones.valuation.numeric.integer,
+ flintstones.valuation.numeric.real,
+ flintstones.valuation.linguistic,
+ flintstones.valuation.twoTuple,
+ flintstones.valuation.proportionaltwotuple,
+ flintstones.valuation.fuzzy,
+ flintstones.valuation.elicit,
+ flintstones.domain.numeric.real,
+ org.eclipse.e4.core.contexts,
+ javax.inject,
+ org.eclipse.e4.core.di,
+ flintstones.entity.domain,
+ flintstones.entity.operator
+Export-Package: flintstones.operator.aggregation.arithmeticmean
+Import-Package: org.eclipse.jface.wizard
@@ -0,0 +1,5 @@
+source.. = src/
+output.. = bin/
+bin.includes = META-INF/,\
+               .,\
+               plugin.xml
@@ -0,0 +1,37 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE xml>
+<?eclipse version="3.4"?>
+<plugin>
+   <extension
+         point="flintstones.operator.aggregation.extensionpoint">
+      <aggregation_operator_type
+            uid="flintstones.operator.aggregation.arithmeticmean"
+            implementation="flintstones.operator.aggregation.arithmeticmean.ArithmeticMean">
+         <aggregation_operator
+               implementation="flintstones.operator.aggregation.arithmeticmean.operators.ArithmeticMeanInteger"
+               valuationId="flintstones.valuation.integer">
+         </aggregation_operator>
+         <aggregation_operator
+               implementation="flintstones.operator.aggregation.arithmeticmean.operators.ArithmeticMeanDouble"
+               valuationId="flintstones.valuation.real">
+         </aggregation_operator>
+         <aggregation_operator
+               implementation="flintstones.operator.aggregation.arithmeticmean.operators.ArithmeticMeanTwoTuple"
+               valuationId="flintstones.valuation.twoTuple">
+         </aggregation_operator>
+         <aggregation_operator
+               implementation="flintstones.operator.aggregation.arithmeticmean.operators.ArithmeticMeanProportionalTwoTuple"
+               valuationId="flintstones.valuation.proportionaltwotuple">
+         </aggregation_operator>
+         <aggregation_operator
+               implementation="flintstones.operator.aggregation.arithmeticmean.operators.ArithmeticMeanFuzzy"
+               valuationId="flintstones.valuation.fuzzy">
+         </aggregation_operator>
+         <aggregation_operator
+               implementation="flintstones.operator.aggregation.arithmeticmean.operators.ArithmeticMeanELICIT"
+               valuationId="flintstones.valuation.elicit">
+         </aggregation_operator>
+      </aggregation_operator_type>
+   </extension>
+
+</plugin>
@@ -0,0 +1,19 @@
+package flintstones.operator.aggregation.arithmeticmean;
+
+import flintstones.entity.operator.AggregationOperator;
+import flintstones.entity.operator.interfaces.IUnweightedAggregationOperator;
+import flintstones.entity.operator.interfaces.IWeightedAggregationOperator;
+
+/**
+ * The Class ArithmeticMean.
+ * https://en.wikipedia.org/wiki/Arithmetic_mean
+ */
+public abstract class ArithmeticMean extends AggregationOperator implements IUnweightedAggregationOperator, IWeightedAggregationOperator {
+	
+	public static final String ID = "flintstones.operator.aggregation.arithmeticmean";
+	
+	@Override
+	public String getName() {
+		return "Arithmetic Mean";
+	}
+}
@@ -0,0 +1,77 @@
+package flintstones.operator.aggregation.arithmeticmean.operators;
+
+import java.util.LinkedList;
+import java.util.List;
+
+import flintstones.domain.numeric.real.NumericRealDomain;
+import flintstones.entity.valuation.Valuation;
+import flintstones.helper.validator.Validator;
+import flintstones.operator.aggregation.arithmeticmean.ArithmeticMean;
+import flintstones.valuation.numeric.real.RealValuation;
+
+public class ArithmeticMeanDouble extends ArithmeticMean {
+
+
+	@Override
+	public Valuation aggregate(List<Valuation> valuations) {
+		
+		RealValuation result = null;
+		double value = 0;
+		int size = valuations.size();
+		NumericRealDomain domain = null;
+		
+		for(Valuation valuation: valuations) {
+			Validator.notIllegalElementType(valuation, new String[] {RealValuation.class.toString()});
+			
+			if(domain == null) {
+				domain = (NumericRealDomain) valuation.getDomain();
+			} else if(!domain.equals(valuation.getDomain())) {
+				throw new IllegalArgumentException("Messages.RealOperator_Invalid_domain");
+			}
+			
+			value += (((RealValuation) valuation).getValue()) / size;
+		}
+		
+		if(domain != null) {
+			result = (RealValuation) valuations.get(0).clone();
+			result.setValue(value);
+		}
+		
+		return result;
+	}
+
+
+	@Override
+	public Valuation aggregate(List<Valuation> valuations, List<Double> weights) {
+		RealValuation result = null;
+		double measure = 0;
+		List<Double> measures = new LinkedList<Double>();
+		NumericRealDomain domain = null;
+
+		for(Valuation valuation : valuations) {
+
+			Validator.notIllegalElementType(valuation, new String[] { RealValuation.class.toString() });
+
+			if (domain == null) {
+				domain = (NumericRealDomain) valuation.getDomain();
+			} else if (!domain.equals(valuation.getDomain())) {
+				throw new IllegalArgumentException("Messages.RealOperator_Invalid_domain");
+			}
+
+			measures.add(((RealValuation) valuation).getValue());
+		}
+
+		if (domain != null) {
+			int size = measures.size();
+			for (int i = 0; i < size; i++) {
+				measure += weights.get(i) * measures.get(i);
+			}
+
+			result = (RealValuation) valuations.get(0).clone();
+			result.setValue( measure);
+		}
+
+		return result;
+
+	}
+}
@@ -0,0 +1,79 @@
+package flintstones.operator.aggregation.arithmeticmean.operators;
+
+import java.util.List;
+
+import javax.inject.Inject;
+
+import org.eclipse.e4.core.contexts.ContextInjectionFactory;
+import org.eclipse.e4.core.contexts.IEclipseContext;
+
+import flintstones.domain.fuzzyset.function.types.TrapezoidalFunction;
+import flintstones.entity.valuation.Valuation;
+import flintstones.helper.validator.Validator;
+import flintstones.operator.aggregation.arithmeticmean.ArithmeticMean;
+import flintstones.valuation.elicit.ELICIT;
+
+public class ArithmeticMeanELICIT extends ArithmeticMean {
+
+	@Inject
+	IEclipseContext context;
+	
+	@Override
+	public Valuation aggregate(List<Valuation> valuations) {
+		ELICIT v = null;
+		
+		TrapezoidalFunction tpf, 
+		tpfResult = new TrapezoidalFunction();
+		tpfResult.setLimits(new double[] {0, 0, 0, 0});
+		
+		int size = valuations.size();
+		for(int i = 0; i < size; ++i) {
+			v = (ELICIT) valuations.get(i);
+			Validator.notIllegalElementType(v, new String[] { ELICIT.class.toString() });
+			
+			if(((ELICIT) v).getBeta() == null)
+				tpf = ((ELICIT) v).calculateFuzzyEnvelope();
+			else
+				tpf = ((ELICIT) v).getBeta();
+			
+			tpfResult = tpfResult.additionAlphaCuts(tpf);
+		}
+
+		tpfResult = tpfResult.divisionScalar(size);
+		
+		ELICIT aggregatedElicit = ContextInjectionFactory.make(ELICIT.class, context);
+		aggregatedElicit.setDomain(valuations.get(0).getDomain());
+		aggregatedElicit.createRelation(tpfResult);
+		
+		return aggregatedElicit;
+	}
+
+	@Override
+	public Valuation aggregate(List<Valuation> valuations, List<Double> weights) {
+		ELICIT v = null;
+		
+		TrapezoidalFunction tpf, 
+		tpfResult = new TrapezoidalFunction();
+		tpfResult.setLimits(new double[] {0, 0, 0, 0});
+		
+		int size = valuations.size();
+		for(int i = 0; i < size; ++i) {
+			v = (ELICIT) valuations.get(i);
+			Validator.notIllegalElementType(v, new String[] { ELICIT.class.toString() });
+			
+			if(((ELICIT) v).getBeta() == null)
+				tpf = ((ELICIT) v).calculateFuzzyEnvelope();
+			else
+				tpf = ((ELICIT) v).getBeta();
+			
+			tpf = tpf.multiplicationScalar(weights.get(i));
+			tpfResult = tpfResult.additionAlphaCuts(tpf);
+		}
+
+		ELICIT aggregatedElicit = ContextInjectionFactory.make(ELICIT.class, context);
+		aggregatedElicit.setDomain(valuations.get(0).getDomain());
+		aggregatedElicit.createRelation(tpfResult);
+		
+		return aggregatedElicit;
+	}
+}
@@ -0,0 +1,86 @@
+package flintstones.operator.aggregation.arithmeticmean.operators;
+
+import java.util.List;
+
+import flintstones.domain.fuzzyset.function.types.TrapezoidalFunction;
+import flintstones.entity.operator.interfaces.IFuzzyWeightedAggregationOperator;
+import flintstones.entity.valuation.Valuation;
+import flintstones.helper.validator.Validator;
+import flintstones.operator.aggregation.arithmeticmean.ArithmeticMean;
+import flintstones.valuation.fuzzy.FuzzyValuation;
+
+public class ArithmeticMeanFuzzy extends ArithmeticMean implements IFuzzyWeightedAggregationOperator {
+
+	@Override
+	public Valuation aggregate(List<Valuation> valuations) {
+		FuzzyValuation v = null;
+		TrapezoidalFunction tpf, tpfResult = new TrapezoidalFunction();
+		tpfResult.setLimits(new double[] { 0, 0, 0, 0 });
+
+		int size = valuations.size();
+		for (int i = 0; i < size; ++i) {
+			v = (FuzzyValuation) valuations.get(i);
+			
+			Validator.notIllegalElementType(v, new String[] { FuzzyValuation.class.toString() });
+
+			tpf = v.getFuzzyNumber();
+
+			tpfResult = tpfResult.additionAlphaCuts(tpf);
+		}
+
+		tpfResult = tpfResult.divisionScalar(size);
+
+		FuzzyValuation aggregatedFuzzyValuation = new FuzzyValuation(tpfResult, valuations.get(0).getDomain());
+
+		return aggregatedFuzzyValuation;	
+	
+	}
+
+	@Override
+	public Valuation aggregate(List<Valuation> valuations, List<Double> weights) {
+		FuzzyValuation v = null;
+		TrapezoidalFunction tpf, tpfResult = new TrapezoidalFunction();
+		tpfResult.setLimits(new double[] { 0, 0, 0, 0 });
+
+		int size = valuations.size();
+		for (int i = 0; i < size; ++i) {
+			v = (FuzzyValuation) valuations.get(i);
+			
+			Validator.notIllegalElementType(v, new String[] { FuzzyValuation.class.toString() });
+
+			tpf = v.getFuzzyNumber();
+			tpf = tpf.multiplicationScalar(weights.get(i));
+
+			tpfResult = tpfResult.additionAlphaCuts(tpf);
+		}
+
+		FuzzyValuation aggregatedFuzzyValuation = new FuzzyValuation(tpfResult, valuations.get(0).getDomain());
+
+		return aggregatedFuzzyValuation;	
+	}
+
+	@Override
+	public Valuation aggregateF(List<Valuation> valuations, List<TrapezoidalFunction> weights) {
+		FuzzyValuation v = null;
+		TrapezoidalFunction tpf, tpfResult = new TrapezoidalFunction();
+		tpfResult.setLimits(new double[] { 0, 0, 0, 0 });
+
+		int size = valuations.size();
+		for (int i = 0; i < size; ++i) {
+			v = (FuzzyValuation) valuations.get(i);
+			
+			Validator.notIllegalElementType(v, new String[] { FuzzyValuation.class.toString() });
+
+			tpf = v.getFuzzyNumber();
+			tpf = tpf.multiplication(weights.get(i));
+
+			tpfResult = tpfResult.additionAlphaCuts(tpf);
+		}
+		
+		tpfResult = tpfResult.divisionScalar(size);
+
+		FuzzyValuation aggregatedFuzzyValuation = new FuzzyValuation(tpfResult, valuations.get(0).getDomain());
+
+		return aggregatedFuzzyValuation;	
+	}
+}
@@ -0,0 +1,72 @@
+package flintstones.operator.aggregation.arithmeticmean.operators;
+
+import java.util.LinkedList;
+import java.util.List;
+import java.util.OptionalDouble;
+
+import javax.inject.Inject;
+
+import org.eclipse.e4.core.contexts.ContextInjectionFactory;
+import org.eclipse.e4.core.contexts.IEclipseContext;
+
+import flintstones.domain.numeric.integer.NumericIntegerDomain;
+import flintstones.entity.valuation.Valuation;
+import flintstones.helper.validator.Validator;
+import flintstones.operator.aggregation.arithmeticmean.ArithmeticMean;
+import flintstones.valuation.numeric.integer.IntegerValuation;
+
+public class ArithmeticMeanInteger extends ArithmeticMean  {
+
+	@Inject
+	IEclipseContext context;
+
+	@Override
+	public Valuation aggregate(List<Valuation> valuations) {
+
+		OptionalDouble averageOptional = valuations.stream().mapToDouble(k -> ((IntegerValuation) k).getValue())
+				.average();
+		double average = averageOptional.getAsDouble();
+
+		// Es necesario mantener el dominio? (clonar)
+		IntegerValuation result = ContextInjectionFactory.make(IntegerValuation.class, context);
+		result.setDomain(valuations.get(0).getDomain());
+		result.setValue(Math.round(average));
+
+		return result;
+
+	}
+
+	@Override
+	public Valuation aggregate(List<Valuation> valuations, List<Double> weights) {
+		IntegerValuation result = null;
+		double measure = 0;
+		List<Double> measures = new LinkedList<Double>();
+		NumericIntegerDomain domain = null;
+
+		for(Valuation valuation : valuations) {
+
+			Validator.notIllegalElementType(valuation, new String[] { IntegerValuation.class.toString() });
+
+			if (domain == null) {
+				domain = (NumericIntegerDomain) valuation.getDomain();
+			} else if (!domain.equals(valuation.getDomain())) {
+				throw new IllegalArgumentException("Messages.IntegerOperator_Invalid_domain");
+			}
+
+			measures.add(((IntegerValuation) valuation).getValue());
+		}
+
+		if (domain != null) {
+			int size = measures.size();
+			for (int i = 0; i < size; i++) {
+				measure += weights.get(i) * measures.get(i);
+			}
+
+			result = (IntegerValuation) valuations.get(0).clone();
+			result.setValue(measure);
+		}
+
+		return result;
+
+	}
+}
@@ -0,0 +1,75 @@
+package flintstones.operator.aggregation.arithmeticmean.operators;
+
+import java.util.LinkedList;
+import java.util.List;
+
+import flintstones.domain.fuzzyset.FuzzySet;
+import flintstones.entity.valuation.Valuation;
+import flintstones.helper.validator.Validator;
+import flintstones.operator.aggregation.arithmeticmean.ArithmeticMean;
+import flintstones.valuation.proportionaltwotuple.ProportionalTwoTuple;
+import flintstones.valuation.twoTuple.TwoTupleValuation;
+
+public class ArithmeticMeanProportionalTwoTuple extends ArithmeticMean {
+
+	@Override
+	public Valuation aggregate(List<Valuation> valuations) {
+		ProportionalTwoTuple result = null;
+		
+		FuzzySet domain = null;
+
+		double beta = 0;
+		for(Valuation valuation : valuations) {
+			Validator.notIllegalElementType(valuation, new String[] { ProportionalTwoTuple.class.toString() });
+
+			if(domain == null)
+				domain = (FuzzySet) valuation.getDomain();
+			else if(!domain.equals(valuation.getDomain()))
+				throw new IllegalArgumentException("Invalid_domain");
+
+			beta += ((ProportionalTwoTuple) valuation).calculatePi();
+		}
+
+		beta /= valuations.size();
+		
+		if (domain != null) {
+			result = (ProportionalTwoTuple) valuations.get(0).clone();
+			result.calculateInversePi(beta);
+		}
+
+		return result;
+
+	}
+
+	@Override
+	public Valuation aggregate(List<Valuation> valuations, List<Double> weights) {
+		ProportionalTwoTuple result = null;
+		
+		FuzzySet domain = null;
+
+		List<Double> measures = new LinkedList<Double>();
+		for(Valuation valuation : valuations) {
+			Validator.notIllegalElementType(valuation, new String[] { TwoTupleValuation.class.toString() });
+
+			if (domain == null)
+				domain = (FuzzySet) valuation.getDomain();
+			else if (!domain.equals(valuation.getDomain()))
+				throw new IllegalArgumentException("Invalid_domain");
+			
+			measures.add(((ProportionalTwoTuple) valuation).calculatePi());
+		}
+		
+		if (domain != null) {
+			double beta = 0;
+			for (int i = 0; i < measures.size(); i++)
+				beta += weights.get(i) * measures.get(i);
+
+			result = (ProportionalTwoTuple) valuations.get(0).clone();
+			result.calculateInversePi(beta);
+		}
+		
+		return result;
+
+	}
+
+}
@@ -0,0 +1,81 @@
+package flintstones.operator.aggregation.arithmeticmean.operators;
+
+import java.util.LinkedList;
+import java.util.List;
+
+import javax.inject.Inject;
+
+import org.eclipse.e4.core.contexts.IEclipseContext;
+import flintstones.domain.fuzzyset.FuzzySet;
+import flintstones.entity.valuation.Valuation;
+import flintstones.helper.validator.Validator;
+import flintstones.operator.aggregation.arithmeticmean.ArithmeticMean;
+import flintstones.valuation.twoTuple.TwoTupleValuation;
+
+public class ArithmeticMeanTwoTuple extends ArithmeticMean {
+
+	@Inject
+	IEclipseContext context;
+
+	@Override
+	public Valuation aggregate(List<Valuation> valuations) {
+		TwoTupleValuation result = null;
+		double beta = 0;
+		FuzzySet domain = null;
+		int size = valuations.size();
+
+		for(Valuation valuation : valuations) {
+			Validator.notIllegalElementType(valuation, new String[] { TwoTupleValuation.class.toString() });
+
+			if(domain == null) {
+				domain = (FuzzySet) valuation.getDomain();
+			} else if(!domain.equals(valuation.getDomain())) {
+				throw new IllegalArgumentException("Messages.TwoTupleOperator_Invalid_domain");
+			}
+
+			beta += (((TwoTupleValuation) valuation).calculateInverseDelta());
+		}
+
+		beta /= size;
+		
+		if (domain != null) {
+			result = (TwoTupleValuation) valuations.get(0).clone();
+			result.calculateDelta(beta);
+		}
+
+		return result;
+
+	}
+
+	@Override
+	public Valuation aggregate(List<Valuation> valuations, List<Double> weights) {
+		TwoTupleValuation result = null;
+		List<Double> measures = new LinkedList<Double>();
+		FuzzySet domain = null;
+
+		for(Valuation valuation : valuations) {
+			Validator.notIllegalElementType(valuation, new String[] { TwoTupleValuation.class.toString() });
+
+			if (domain == null) {
+				domain = (FuzzySet) valuation.getDomain();
+			} else if (!domain.equals(valuation.getDomain())) {
+				throw new IllegalArgumentException("Messages.TwoTupleOperator_Invalid_domain");
+			}
+			measures.add(((TwoTupleValuation) valuation).calculateInverseDelta());
+		}
+		
+		if (domain != null) {
+			int size = measures.size();
+			double beta = 0;
+			for (int i = 0; i < size; i++) {
+				beta += weights.get(i) * measures.get(i);
+			}
+
+			result = (TwoTupleValuation) valuations.get(0).clone();
+			result.calculateDelta(beta);
+		}
+		return result;
+
+	}
+
+}