Repository /Rseslib/rseslib-3.0.2.jar:rseslib.structure.rule.AbstractDistrDecRule

/*
 * $RCSfile: AbstractDistrDecRule.java,v $
 * $Revision: 1.2 $
 * $Date: 2007/09/25 09:07:12 $
 * $Author: sebstawi $
 * 
 * Copyright (C) 2002 - 2007 Logic Group, Institute of Mathematics, Warsaw University
 * 
 *  This file is part of Rseslib.
 *
 *  Rseslib is free software; you can redistribute it and/or modify
 *  it under the terms of the GNU General Public License as published by
 *  the Free Software Foundation; either version 3 of the License, or
 *  (at your option) any later version.
 *
 *  Rseslib is distributed in the hope that it will be useful,
 *  but WITHOUT ANY WARRANTY; without even the implied warranty of
 *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 *  GNU General Public License for more details.
 *
 *  You should have received a copy of the GNU General Public License
 *  along with this program.  If not, see <http://www.gnu.org/licenses/>.
 */


package rseslib.structure.rule;

import rseslib.structure.attribute.NominalAttribute;
import rseslib.structure.vector.Vector;

/**
 * Abstract class for rule with distributed decision.
 * 
 * @author Rafal Latkowski
 */
public abstract class AbstractDistrDecRule implements DistributedDecisionRule
{
    /** Information about the decision attribute. */
    NominalAttribute m_DecAttr = null;
	/** Decision distribution of this rule. */
    Vector m_DecisionVector = null;
    /** Most probable decision. * */
    double m_nBestGlobalDecision = Double.NaN;
    

    /**
     * Sets the decision distribution of this rule.
     *
     * @param decVec	Decision distribution to be set.
     * @param decAttr	Information about the decision attribute.
     */
    public void setDecisionVector(Vector decVec, NominalAttribute decAttr)
    {
    	m_DecAttr = decAttr;
        m_DecisionVector = decVec;
        int bestDec = 0;
        for (int dec = 1; dec < m_DecisionVector.dimension(); dec++)
            if (m_DecisionVector.get(dec) > m_DecisionVector.get(bestDec)) bestDec = dec;
        m_nBestGlobalDecision = m_DecAttr.globalValueCode(bestDec);
    }

    /**
     * Returns the decision of this rule.
     *
     * @return Decision of this rule.
     * @see rseslib.structure.rule.Rule#getDecision()
     */
    public double getDecision()
    {
        return m_nBestGlobalDecision;
    }

    /**
     * Returns the decision distribution of this rule.
     *
     * @return Decision distribution of this rule.
     * @see rseslib.structure.rule.DistributedDecisionRule#getDecisionVector()
     */
    public Vector getDecisionVector()
    {
        return m_DecisionVector;
    }
    
    /**
     * Returns the decision attribute of this rule.
     *
     * @return Decision attribute of this rule.
     */
    public NominalAttribute getDecisionAttribute()
    {
    	return m_DecAttr;
    }
}