package keel.Algorithms.UnsupervisedLearning.AssociationRules.FuzzyRuleLearning.Fingrams; /** * <p>Title: Fuzzy</p> * <p>Description: This class contains the representation of a fuzzy value</p> * <p>Copyright: Copyright KEEL (c) 2007</p> * <p>Company: KEEL </p> * @author Jesus Alcal� (University of Granada) 09/02/2011 * @version 1.0 * @since JDK1.6 */ public class Fuzzy { double x0, x1, x3, y; String name; public Fuzzy() { } public double Fuzzifica(double X) { if (X == x1) { return (1.0); } if ( (X <= x0) || (X >= x3)) { return (0.0); } if (X < x1) { return ( (X - x0) * (y / (x1 - x0))); } if (X > x1) { return ( (x3 - X) * (y / (x3 - x1))); } return (y); } public Fuzzy clone(){ Fuzzy d = new Fuzzy(); d.x0 = this.x0; d.x1 = this.x1; d.x3 = this.x3; d.y = this.y; d.name = new String(this.name); return d; } public String getName(){ return (this.name); } }