/*******************************************************************************
* 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();
}