import com.fuzzylite.*;
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 tsukamoto{
public static void main(String[] args){
Engine engine = new Engine();
engine.setName("");

InputVariable inputVariable = new InputVariable();
inputVariable.setEnabled(true);
inputVariable.setName("X");
inputVariable.setRange(-10.000, 10.000);
inputVariable.addTerm(new Bell("small", -10.000, 5.000, 3.000));
inputVariable.addTerm(new Bell("medium", 0.000, 5.000, 3.000));
inputVariable.addTerm(new Bell("large", 10.000, 5.000, 3.000));
engine.addInputVariable(inputVariable);

OutputVariable outputVariable1 = new OutputVariable();
outputVariable1.setEnabled(true);
outputVariable1.setName("Ramps");
outputVariable1.setRange(0.000, 1.000);
outputVariable1.fuzzyOutput().setAccumulation(null);
outputVariable1.setDefuzzifier(new WeightedAverage("Automatic"));
outputVariable1.setDefaultValue(Double.NaN);
outputVariable1.setLockPreviousOutputValue(false);
outputVariable1.setLockOutputValueInRange(false);
outputVariable1.addTerm(new Ramp("b", 0.600, 0.400));
outputVariable1.addTerm(new Ramp("a", 0.000, 0.250));
outputVariable1.addTerm(new Ramp("c", 0.700, 1.000));
engine.addOutputVariable(outputVariable1);

OutputVariable outputVariable2 = new OutputVariable();
outputVariable2.setEnabled(true);
outputVariable2.setName("Sigmoids");
outputVariable2.setRange(0.020, 1.000);
outputVariable2.fuzzyOutput().setAccumulation(null);
outputVariable2.setDefuzzifier(new WeightedAverage("Automatic"));
outputVariable2.setDefaultValue(Double.NaN);
outputVariable2.setLockPreviousOutputValue(false);
outputVariable2.setLockOutputValueInRange(false);
outputVariable2.addTerm(new Sigmoid("b", 0.500, -30.000));
outputVariable2.addTerm(new Sigmoid("a", 0.130, 30.000));
outputVariable2.addTerm(new Sigmoid("c", 0.830, 30.000));
engine.addOutputVariable(outputVariable2);

OutputVariable outputVariable3 = new OutputVariable();
outputVariable3.setEnabled(true);
outputVariable3.setName("ZSShapes");
outputVariable3.setRange(0.000, 1.000);
outputVariable3.fuzzyOutput().setAccumulation(null);
outputVariable3.setDefuzzifier(new WeightedAverage("Automatic"));
outputVariable3.setDefaultValue(Double.NaN);
outputVariable3.setLockPreviousOutputValue(false);
outputVariable3.setLockOutputValueInRange(false);
outputVariable3.addTerm(new ZShape("b", 0.300, 0.600));
outputVariable3.addTerm(new SShape("a", 0.000, 0.250));
outputVariable3.addTerm(new SShape("c", 0.700, 1.000));
engine.addOutputVariable(outputVariable3);

OutputVariable outputVariable4 = new OutputVariable();
outputVariable4.setEnabled(true);
outputVariable4.setName("Concaves");
outputVariable4.setRange(0.000, 1.000);
outputVariable4.fuzzyOutput().setAccumulation(null);
outputVariable4.setDefuzzifier(new WeightedAverage("Automatic"));
outputVariable4.setDefaultValue(Double.NaN);
outputVariable4.setLockPreviousOutputValue(false);
outputVariable4.setLockOutputValueInRange(false);
outputVariable4.addTerm(new Concave("b", 0.500, 0.400));
outputVariable4.addTerm(new Concave("a", 0.240, 0.250));
outputVariable4.addTerm(new Concave("c", 0.900, 1.000));
engine.addOutputVariable(outputVariable4);

RuleBlock ruleBlock = new RuleBlock();
ruleBlock.setEnabled(true);
ruleBlock.setName("");
ruleBlock.setConjunction(null);
ruleBlock.setDisjunction(null);
ruleBlock.setActivation(null);
ruleBlock.addRule(Rule.parse("if X is small then Ramps is a and Sigmoids is a and ZSShapes is a and Concaves is a", engine));
ruleBlock.addRule(Rule.parse("if X is medium then Ramps is b and Sigmoids is b and ZSShapes is b and Concaves is b", engine));
ruleBlock.addRule(Rule.parse("if X is large then Ramps is c and Sigmoids is c and ZSShapes is c and Concaves is c", engine));
engine.addRuleBlock(ruleBlock);


}
}