public code v1
This commit is contained in:
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<?xml version="1.0" encoding="UTF-8"?>
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<classpath>
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<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 @@
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<?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"
|
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xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
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<modelVersion>4.0.0</modelVersion>
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<parent>
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<groupId>flintstones.group</groupId>
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<artifactId>flintstones.bundles</artifactId>
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<version>1.0.0-SNAPSHOT</version>
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</parent>
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<artifactId>flintstones.operator.aggregation.geometricMean</artifactId>
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<version>1.0.0-SNAPSHOT</version>
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<packaging>eclipse-plugin</packaging>
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<name>[bundle] GeometricMean</name>
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</project>
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@@ -0,0 +1,45 @@
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<?xml version="1.0" encoding="UTF-8"?>
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<projectDescription>
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<name>flintstones.operator.aggregation.geometricMean</name>
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<comment></comment>
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||||
<projects>
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</projects>
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<buildSpec>
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<buildCommand>
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<name>org.eclipse.jdt.core.javabuilder</name>
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||||
<arguments>
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</arguments>
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</buildCommand>
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<buildCommand>
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<name>org.eclipse.pde.ManifestBuilder</name>
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<arguments>
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</arguments>
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</buildCommand>
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||||
<buildCommand>
|
||||
<name>org.eclipse.pde.SchemaBuilder</name>
|
||||
<arguments>
|
||||
</arguments>
|
||||
</buildCommand>
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||||
<buildCommand>
|
||||
<name>org.eclipse.m2e.core.maven2Builder</name>
|
||||
<arguments>
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||||
</arguments>
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||||
</buildCommand>
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</buildSpec>
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||||
<natures>
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<nature>org.eclipse.m2e.core.maven2Nature</nature>
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||||
<nature>org.eclipse.pde.PluginNature</nature>
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||||
<nature>org.eclipse.jdt.core.javanature</nature>
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||||
</natures>
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<filteredResources>
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||||
<filter>
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<id>1779484362732</id>
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<name></name>
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<type>30</type>
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<matcher>
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<id>org.eclipse.core.resources.regexFilterMatcher</id>
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<arguments>node_modules|\.git|__CREATED_BY_JAVA_LANGUAGE_SERVER__</arguments>
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</matcher>
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</filter>
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</filteredResources>
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</projectDescription>
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+2
@@ -0,0 +1,2 @@
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eclipse.preferences.version=1
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encoding/<project>=UTF-8
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+7
@@ -0,0 +1,7 @@
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eclipse.preferences.version=1
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org.eclipse.jdt.core.compiler.codegen.inlineJsrBytecode=enabled
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org.eclipse.jdt.core.compiler.codegen.targetPlatform=1.8
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org.eclipse.jdt.core.compiler.compliance=1.8
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org.eclipse.jdt.core.compiler.problem.assertIdentifier=error
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org.eclipse.jdt.core.compiler.problem.enumIdentifier=error
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org.eclipse.jdt.core.compiler.source=1.8
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+4
@@ -0,0 +1,4 @@
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activeProfiles=
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eclipse.preferences.version=1
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resolveWorkspaceProjects=true
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version=1
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@@ -0,0 +1,22 @@
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Manifest-Version: 1.0
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Bundle-ManifestVersion: 2
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Bundle-Name: GeometricMean
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Bundle-SymbolicName: flintstones.operator.aggregation.geometricMean;singleton:=true
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Bundle-Version: 1.0.0.qualifier
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Automatic-Module-Name: flintstones.operator.aggregation.geometricMean
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Bundle-RequiredExecutionEnvironment: JavaSE-11
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Require-Bundle: flintstones.operator,
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flintstones.entity.valuation,
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flintstones.model.valuation.service,
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flintstones.domain.numeric.real,
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flintstones.valuation.numeric.real,
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flintstones.valuation.numeric.integer,
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flintstones.valuation.twoTuple,
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flintstones.entity.domain,
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flintstones.entity.operator,
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flintstones.valuation.elicit,
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||||
org.eclipse.e4.core.contexts,
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||||
javax.inject,
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org.eclipse.e4.core.di,
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flintstones.valuation.fuzzy
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Export-Package: flintstones.operator.aggregation.geometricMean
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@@ -0,0 +1,5 @@
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source.. = src/
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output.. = bin/
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bin.includes = META-INF/,\
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.,\
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plugin.xml
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@@ -0,0 +1,32 @@
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<?xml version="1.0" encoding="UTF-8"?>
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<?eclipse version="3.4"?>
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<plugin>
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<extension
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point="flintstones.operator.aggregation.extensionpoint">
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<aggregation_operator_type
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uid="flintstones.operator.aggregation.geometricMean"
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implementation="flintstones.operator.aggregation.geometricMean.GeometricMean">
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<aggregation_operator
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implementation="flintstones.operator.aggregation.geometricMean.operators.GeometricMeanInteger"
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valuationId="flintstones.valuation.integer">
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</aggregation_operator>
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<aggregation_operator
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implementation="flintstones.operator.aggregation.geometricMean.operators.GeometricMeanReal"
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valuationId="flintstones.valuation.real">
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</aggregation_operator>
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<aggregation_operator
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implementation="flintstones.operator.aggregation.geometricMean.operators.GeometricMeanTwoTuple"
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valuationId="flintstones.valuation.twoTuple">
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</aggregation_operator>
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<aggregation_operator
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implementation="flintstones.operator.aggregation.geometricMean.operators.GeometricMeanFuzzy"
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valuationId="flintstones.valuation.fuzzy">
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</aggregation_operator>
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<aggregation_operator
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implementation="flintstones.operator.aggregation.geometricMean.operators.GeometricMeanELICIT"
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valuationId="flintstones.valuation.elicit">
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</aggregation_operator>
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</aggregation_operator_type>
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</extension>
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|
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</plugin>
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+14
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package flintstones.operator.aggregation.geometricMean;
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import flintstones.entity.operator.AggregationOperator;
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import flintstones.entity.operator.interfaces.IUnweightedAggregationOperator;
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import flintstones.entity.operator.interfaces.IWeightedAggregationOperator;
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public abstract class GeometricMean extends AggregationOperator implements IUnweightedAggregationOperator, IWeightedAggregationOperator {
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@Override
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public String getName() {
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return "Geometric Mean";
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}
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}
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+81
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package flintstones.operator.aggregation.geometricMean.operators;
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import java.util.List;
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import javax.inject.Inject;
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import org.eclipse.e4.core.contexts.ContextInjectionFactory;
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import org.eclipse.e4.core.contexts.IEclipseContext;
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import flintstones.domain.fuzzyset.function.types.TrapezoidalFunction;
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import flintstones.entity.valuation.Valuation;
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import flintstones.helper.validator.Validator;
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import flintstones.operator.aggregation.geometricMean.GeometricMean;
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import flintstones.valuation.elicit.ELICIT;
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public class GeometricMeanELICIT extends GeometricMean {
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@Inject
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IEclipseContext context;
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@Override
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public Valuation aggregate(List<Valuation> valuations) {
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ELICIT v = null;
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TrapezoidalFunction tpf,
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tpfResult = new TrapezoidalFunction();
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tpfResult.setLimits(new double[] {1, 1, 1, 1});
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int size = valuations.size();
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for(int i = 0; i < size; ++i) {
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v = (ELICIT) valuations.get(i);
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Validator.notIllegalElementType(v, new String[] { ELICIT.class.toString() });
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if(((ELICIT) v).getBeta() == null)
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tpf = ((ELICIT) v).calculateFuzzyEnvelope();
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else
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tpf = ((ELICIT) v).getBeta();
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tpfResult = tpfResult.multiplicationAlphaCuts(tpf);
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}
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tpfResult = tpfResult.potence(1d / size);
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ELICIT aggregatedElicit = ContextInjectionFactory.make(ELICIT.class, context);
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aggregatedElicit.setDomain(valuations.get(0).getDomain());
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aggregatedElicit.createRelation(tpfResult);
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return aggregatedElicit;
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}
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@Override
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public Valuation aggregate(List<Valuation> valuations, List<Double> weights) {
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ELICIT v = null;
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TrapezoidalFunction tpf,
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tpfResult = new TrapezoidalFunction();
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tpfResult.setLimits(new double[] {1, 1, 1, 1});
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int size = valuations.size();
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for(int i = 0; i < size; ++i) {
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v = (ELICIT) valuations.get(i);
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Validator.notIllegalElementType(v, new String[] { ELICIT.class.toString() });
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if(((ELICIT) v).getBeta() == null)
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tpf = ((ELICIT) v).calculateFuzzyEnvelope();
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else
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tpf = ((ELICIT) v).getBeta();
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tpf = tpf.potence(weights.get(i));
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tpfResult = tpfResult.multiplicationAlphaCuts(tpf);
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}
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ELICIT aggregatedElicit = ContextInjectionFactory.make(ELICIT.class, context);
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aggregatedElicit.setDomain(valuations.get(0).getDomain());
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aggregatedElicit.createRelation(tpfResult);
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return aggregatedElicit;
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}
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}
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+88
@@ -0,0 +1,88 @@
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package flintstones.operator.aggregation.geometricMean.operators;
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import java.util.ArrayList;
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import java.util.List;
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import flintstones.domain.fuzzyset.function.types.TrapezoidalFunction;
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import flintstones.entity.operator.interfaces.IFuzzyWeightedAggregationOperator;
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import flintstones.entity.valuation.Valuation;
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import flintstones.helper.validator.Validator;
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import flintstones.operator.aggregation.geometricMean.GeometricMean;
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import flintstones.valuation.fuzzy.FuzzyValuation;
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public class GeometricMeanFuzzy extends GeometricMean implements IFuzzyWeightedAggregationOperator {
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public Valuation aggregate(List<Valuation> valuations) {
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FuzzyValuation v = null;
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TrapezoidalFunction tpf,
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tpfResult = new TrapezoidalFunction();
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tpfResult.setLimits(new double[] {1, 1, 1, 1});
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int size = valuations.size();
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for(int i = 0; i < size; ++i) {
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v = (FuzzyValuation) valuations.get(i);
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Validator.notIllegalElementType(v, new String[] { FuzzyValuation.class.toString() });
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tpf = ((FuzzyValuation) v).getFuzzyNumber();
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tpfResult = tpfResult.multiplicationAlphaCuts(tpf);
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}
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tpfResult = tpfResult.potence(1d / size);
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FuzzyValuation aggregatedFuzzyValuation = new FuzzyValuation(tpfResult, valuations.get(0).getDomain());
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return aggregatedFuzzyValuation;
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}
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@Override
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public Valuation aggregate(List<Valuation> valuations, List<Double> weights) {
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FuzzyValuation v = null;
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TrapezoidalFunction tpf,
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tpfResult = new TrapezoidalFunction();
|
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tpfResult.setLimits(new double[] {1, 1, 1, 1});
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|
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int size = valuations.size();
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for(int i = 0; i < size; ++i) {
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v = (FuzzyValuation) valuations.get(i);
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Validator.notIllegalElementType(v, new String[] { FuzzyValuation.class.toString() });
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tpf = ((FuzzyValuation) v).getFuzzyNumber();
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tpf = tpf.potence(weights.get(i));
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tpfResult = tpfResult.multiplicationAlphaCuts(tpf);
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}
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||||
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FuzzyValuation aggregatedFuzzyValuation = new FuzzyValuation(tpfResult, valuations.get(0).getDomain());
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|
||||
return aggregatedFuzzyValuation;
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}
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||||
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//TODO Fix to a proper fuzzy weighted geometric mean aggregation operator
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@Override
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public Valuation aggregateF(List<Valuation> valuations, List<TrapezoidalFunction> weights) {
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List<Double> defuzziedWeights = new ArrayList<Double>();
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double acum = 0, centroid;
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for(TrapezoidalFunction w: weights) {
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centroid = w.centroid();
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||||
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if(Double.valueOf(centroid).isNaN())//Fuzzy number (1, 1, 1)
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centroid = w.getLimits()[1];
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||||
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defuzziedWeights.add(centroid);
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acum += centroid;
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||||
}
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||||
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List<Double> normalizedDefuzziedWeights = new ArrayList<Double>();
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||||
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for(Double dw: defuzziedWeights)
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normalizedDefuzziedWeights.add(dw / acum);
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|
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return aggregate(valuations, normalizedDefuzziedWeights);
|
||||
}
|
||||
}
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||||
+63
@@ -0,0 +1,63 @@
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package flintstones.operator.aggregation.geometricMean.operators;
|
||||
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||||
import java.util.LinkedList;
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import java.util.List;
|
||||
|
||||
import flintstones.domain.numeric.integer.NumericIntegerDomain;
|
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import flintstones.entity.valuation.Valuation;
|
||||
import flintstones.helper.validator.Validator;
|
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import flintstones.operator.aggregation.geometricMean.GeometricMean;
|
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import flintstones.valuation.numeric.integer.IntegerValuation;
|
||||
|
||||
public class GeometricMeanInteger extends GeometricMean {
|
||||
|
||||
public Valuation aggregate(List<Valuation> valuations) {
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||||
IntegerValuation result = null;
|
||||
|
||||
double value = 1;
|
||||
for (Valuation valuation : valuations)
|
||||
value *= ((IntegerValuation) valuation).getValue();
|
||||
|
||||
double aux = (long) Math.pow(value, 1d / valuations.size());
|
||||
|
||||
result = (IntegerValuation) valuations.get(0).clone();
|
||||
result.setValue(aux);
|
||||
|
||||
return result;
|
||||
}
|
||||
|
||||
|
||||
@Override
|
||||
public Valuation aggregate(List<Valuation> valuations, List<Double> weights) {
|
||||
IntegerValuation result = null;
|
||||
|
||||
NumericIntegerDomain domain = null;
|
||||
|
||||
List<Double> measures = new LinkedList<Double>();
|
||||
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("Invalid domain");
|
||||
|
||||
measures.add(((IntegerValuation) valuation).getValue());
|
||||
}
|
||||
|
||||
if (domain != null) {
|
||||
|
||||
double measure = 1;
|
||||
for (int i = 0; i < measures.size(); i++)
|
||||
measure *= Math.pow(measures.get(i), weights.get(i));
|
||||
|
||||
result = (IntegerValuation) valuations.get(0).clone();
|
||||
result.setValue(measure);
|
||||
}
|
||||
|
||||
return result;
|
||||
|
||||
}
|
||||
|
||||
}
|
||||
+64
@@ -0,0 +1,64 @@
|
||||
package flintstones.operator.aggregation.geometricMean.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.geometricMean.GeometricMean;
|
||||
import flintstones.valuation.numeric.real.RealValuation;
|
||||
|
||||
public class GeometricMeanReal extends GeometricMean {
|
||||
|
||||
@Override
|
||||
public Valuation aggregate(List<Valuation> valuations) {
|
||||
RealValuation result = null;
|
||||
|
||||
double value = 1;
|
||||
for (Valuation valuation : valuations)
|
||||
value *= ((RealValuation) valuation).getValue();
|
||||
|
||||
double aux = Math.pow(value, 1d / valuations.size());
|
||||
|
||||
result = (RealValuation) valuations.get(0).clone();
|
||||
result.setValue(aux);
|
||||
|
||||
return result;
|
||||
}
|
||||
|
||||
@Override
|
||||
public Valuation aggregate(List<Valuation> valuations, List<Double> weights) {
|
||||
RealValuation result = null;
|
||||
|
||||
NumericRealDomain domain = null;
|
||||
|
||||
List<Double> measures = new LinkedList<Double>();
|
||||
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("Invalid domain");
|
||||
|
||||
measures.add(((RealValuation) valuation).getValue());
|
||||
}
|
||||
|
||||
if (domain != null) {
|
||||
|
||||
double measure = 1;
|
||||
for (int i = 0; i < measures.size(); i++)
|
||||
measure *= Math.pow(measures.get(i), weights.get(i));
|
||||
|
||||
|
||||
result = (RealValuation) valuations.get(0).clone();
|
||||
result.setValue(measure);
|
||||
}
|
||||
|
||||
return result;
|
||||
|
||||
}
|
||||
|
||||
}
|
||||
+59
@@ -0,0 +1,59 @@
|
||||
package flintstones.operator.aggregation.geometricMean.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.geometricMean.GeometricMean;
|
||||
import flintstones.valuation.twoTuple.TwoTupleValuation;
|
||||
|
||||
public class GeometricMeanTwoTuple extends GeometricMean {
|
||||
|
||||
public Valuation aggregate(List<Valuation> valuations) {
|
||||
TwoTupleValuation result = null;
|
||||
|
||||
double beta = 1;
|
||||
for (Valuation valuation : valuations)
|
||||
beta *= (((TwoTupleValuation) valuation).calculateInverseDelta());
|
||||
|
||||
double aux = Math.pow(beta, 1d / valuations.size());
|
||||
|
||||
result = (TwoTupleValuation) valuations.get(0).clone();
|
||||
result.calculateDelta(aux);
|
||||
|
||||
return result;
|
||||
}
|
||||
|
||||
@Override
|
||||
public Valuation aggregate(List<Valuation> valuations, List<Double> weights) {
|
||||
TwoTupleValuation 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(((TwoTupleValuation) valuation).calculateInverseDelta());
|
||||
}
|
||||
|
||||
if (domain != null) {
|
||||
double beta = 1;
|
||||
|
||||
for (int i = 0; i < measures.size(); i++)
|
||||
beta *= Math.pow(measures.get(i), weights.get(i));
|
||||
|
||||
result = (TwoTupleValuation) valuations.get(0).clone();
|
||||
result.calculateDelta(beta);
|
||||
}
|
||||
|
||||
return result;
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user