/******************************************************************************* * Copyright 2006 - 2012 Vienna University of Technology, * Department of Software Technology and Interactive Systems, IFS * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * * This work originates from the Planets project, co-funded by the European Union under the Sixth Framework Programme. ******************************************************************************/ package eu.scape_project.planning.model.sensitivity; /** * Implementations of this interface are used as results of the sensitivity analysis. * Every node in the result tree has a map of results (each for every alternative). * * You should implement the toString() method to produce some user readable output. * * The results are stored as one instance per ResultNode. * * @author Jan Zarnikov * */ public interface ISensitivityAnalysisResult { /** * Is the node sensitive to changes in the weights of the importance factors. * @return */ public boolean isSensitive(); /** * This is a non-negative number describing the sensitivity of the node. * The higher the more sensitive is the weight distribution of its children * (even small changes to the weights will cause significat changes in the results). * @return */ public double getSensitivityCoefficient(); /** * A non-negative number describing the threshold of the sensitivity * (as measured by the getSensitivityCoefficient()). If the sensitivity * coefficient is bigger than this then isSensitive() must return true. * @return */ public double getSensitivityThreashold(); }