import com.fuzzylite.*;
import com.fuzzylite.activation.*
import com.fuzzylite.defuzzifier.*;
import com.fuzzylite.factory.*;
import com.fuzzylite.hedge.*;
import com.fuzzylite.imex.*;
import com.fuzzylite.norm.*;
import com.fuzzylite.norm.s.*;
import com.fuzzylite.norm.t.*;
import com.fuzzylite.rule.*;
import com.fuzzylite.term.*;
import com.fuzzylite.variable.*;

public class AllTerms{
public static void main(String[] args){
//Code automatically generated with fuzzylite 6.0.

Engine engine = new Engine();
engine.setName("AllTerms");
engine.setDescription("");

InputVariable AllInputTerms = new InputVariable();
AllInputTerms.setName("AllInputTerms");
AllInputTerms.setDescription("");
AllInputTerms.setEnabled(true);
AllInputTerms.setRange(0.000, 6.500);
AllInputTerms.setLockValueInRange(false);
AllInputTerms.addTerm(new Sigmoid("A", 0.500, -20.000));
AllInputTerms.addTerm(new ZShape("B", 0.000, 1.000));
AllInputTerms.addTerm(new Ramp("C", 1.000, 0.000));
AllInputTerms.addTerm(new Triangle("D", 0.500, 1.000, 1.500));
AllInputTerms.addTerm(new Trapezoid("E", 1.000, 1.250, 1.750, 2.000));
AllInputTerms.addTerm(new Concave("F", 0.850, 0.250));
AllInputTerms.addTerm(new Rectangle("G", 1.750, 2.250));
AllInputTerms.addTerm(Discrete.create("H", 2.000, 0.000, 2.250, 1.000, 2.500, 0.500, 2.750, 1.000, 3.000, 0.000));
AllInputTerms.addTerm(new Gaussian("I", 3.000, 0.200));
AllInputTerms.addTerm(new Cosine("J", 3.250, 0.650));
AllInputTerms.addTerm(new GaussianProduct("K", 3.500, 0.100, 3.300, 0.300));
AllInputTerms.addTerm(new Spike("L", 3.640, 1.040));
AllInputTerms.addTerm(new Bell("M", 4.000, 0.250, 3.000));
AllInputTerms.addTerm(new PiShape("N", 4.000, 4.500, 4.500, 5.000));
AllInputTerms.addTerm(new Concave("O", 5.650, 6.250));
AllInputTerms.addTerm(new SigmoidDifference("P", 4.750, 10.000, 30.000, 5.250));
AllInputTerms.addTerm(new SigmoidProduct("Q", 5.250, 20.000, -10.000, 5.750));
AllInputTerms.addTerm(new Ramp("R", 5.500, 6.500));
AllInputTerms.addTerm(new SShape("S", 5.500, 6.500));
AllInputTerms.addTerm(new Sigmoid("T", 6.000, 20.000));
engine.addInputVariable(AllInputTerms);

OutputVariable AllOutputTerms = new OutputVariable();
AllOutputTerms.setName("AllOutputTerms");
AllOutputTerms.setDescription("");
AllOutputTerms.setEnabled(true);
AllOutputTerms.setRange(0.000, 6.500);
AllOutputTerms.setLockValueInRange(false);
AllOutputTerms.setAggregation(new Maximum());
AllOutputTerms.setDefuzzifier(new Centroid(200));
AllOutputTerms.setDefaultValue(Double.NaN);
AllOutputTerms.setLockPreviousValue(false);
AllOutputTerms.addTerm(new Sigmoid("A", 0.500, -20.000));
AllOutputTerms.addTerm(new ZShape("B", 0.000, 1.000));
AllOutputTerms.addTerm(new Ramp("C", 1.000, 0.000));
AllOutputTerms.addTerm(new Triangle("D", 0.500, 1.000, 1.500));
AllOutputTerms.addTerm(new Trapezoid("E", 1.000, 1.250, 1.750, 2.000));
AllOutputTerms.addTerm(new Concave("F", 0.850, 0.250));
AllOutputTerms.addTerm(new Rectangle("G", 1.750, 2.250));
AllOutputTerms.addTerm(Discrete.create("H", 2.000, 0.000, 2.250, 1.000, 2.500, 0.500, 2.750, 1.000, 3.000, 0.000));
AllOutputTerms.addTerm(new Gaussian("I", 3.000, 0.200));
AllOutputTerms.addTerm(new Cosine("J", 3.250, 0.650));
AllOutputTerms.addTerm(new GaussianProduct("K", 3.500, 0.100, 3.300, 0.300));
AllOutputTerms.addTerm(new Spike("L", 3.640, 1.040));
AllOutputTerms.addTerm(new Bell("M", 4.000, 0.250, 3.000));
AllOutputTerms.addTerm(new PiShape("N", 4.000, 4.500, 4.500, 5.000));
AllOutputTerms.addTerm(new Concave("O", 5.650, 6.250));
AllOutputTerms.addTerm(new SigmoidDifference("P", 4.750, 10.000, 30.000, 5.250));
AllOutputTerms.addTerm(new SigmoidProduct("Q", 5.250, 20.000, -10.000, 5.750));
AllOutputTerms.addTerm(new Ramp("R", 5.500, 6.500));
AllOutputTerms.addTerm(new SShape("S", 5.500, 6.500));
AllOutputTerms.addTerm(new Sigmoid("T", 6.000, 20.000));
engine.addOutputVariable(AllOutputTerms);

RuleBlock ruleBlock = new RuleBlock();
ruleBlock.setName("");
ruleBlock.setDescription("");
ruleBlock.setEnabled(true);
ruleBlock.setConjunction(new Minimum());
ruleBlock.setDisjunction(new Maximum());
ruleBlock.setImplication(new Minimum());
ruleBlock.setActivation(new General());
ruleBlock.addRule(Rule.parse("if AllInputTerms is A then AllOutputTerms is T", engine));
ruleBlock.addRule(Rule.parse("if AllInputTerms is B then AllOutputTerms is S", engine));
ruleBlock.addRule(Rule.parse("if AllInputTerms is C then AllOutputTerms is R", engine));
ruleBlock.addRule(Rule.parse("if AllInputTerms is D then AllOutputTerms is Q", engine));
ruleBlock.addRule(Rule.parse("if AllInputTerms is E then AllOutputTerms is P", engine));
ruleBlock.addRule(Rule.parse("if AllInputTerms is F then AllOutputTerms is O", engine));
ruleBlock.addRule(Rule.parse("if AllInputTerms is G then AllOutputTerms is N", engine));
ruleBlock.addRule(Rule.parse("if AllInputTerms is H then AllOutputTerms is M", engine));
ruleBlock.addRule(Rule.parse("if AllInputTerms is I then AllOutputTerms is L", engine));
ruleBlock.addRule(Rule.parse("if AllInputTerms is J then AllOutputTerms is K", engine));
ruleBlock.addRule(Rule.parse("if AllInputTerms is K then AllOutputTerms is J", engine));
ruleBlock.addRule(Rule.parse("if AllInputTerms is L then AllOutputTerms is I", engine));
ruleBlock.addRule(Rule.parse("if AllInputTerms is M then AllOutputTerms is H", engine));
ruleBlock.addRule(Rule.parse("if AllInputTerms is N then AllOutputTerms is G", engine));
ruleBlock.addRule(Rule.parse("if AllInputTerms is O then AllOutputTerms is F", engine));
ruleBlock.addRule(Rule.parse("if AllInputTerms is P then AllOutputTerms is E", engine));
ruleBlock.addRule(Rule.parse("if AllInputTerms is Q then AllOutputTerms is D", engine));
ruleBlock.addRule(Rule.parse("if AllInputTerms is R then AllOutputTerms is C", engine));
ruleBlock.addRule(Rule.parse("if AllInputTerms is S then AllOutputTerms is B", engine));
ruleBlock.addRule(Rule.parse("if AllInputTerms is T then AllOutputTerms is A", engine));
engine.addRuleBlock(ruleBlock);


}
}