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jFuzzyLogic/html/html_old/example_parametric_optimization_content.html
2014-12-19 08:30:46 -05:00

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<center><h3> Optimization example </h3></center>
Java code to optimize fuzzy sets' parameters and fuzzy rule's weights<p>
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<pre>
//---
// Load FIS (Fuzzy Inference System)
//---
FIS fis = FIS.load("fcl/qualify.fcl");
RuleBlock ruleBlock = fis.getFunctionBlock().getRuleBlock();
//---
// Create a list of parameter to optimize
//---
ArrayList<Parameter> parameterList = new ArrayList<Parameter>();
// Add variables.
// Note: Fuzzy sets' parameters for these
// variables will be optimized
Parameter.parameterListAddVariable(parameterList
, fis.getVariable("scoring"));
Parameter.parameterListAddVariable(parameterList
, fis.getVariable("credLimMul"));
// Add every rule's weight
for( Rule rule = ruleBlock )
Parameter.parameterListAddRule(parameterList, rule);
//---
// Create an error function to be
// optimzed (i.e. minimized)
//---
ErrorFunctionQualify errorFunction = new ErrorFunctionQualify();
//---
// Optimize (using 'Delta jump optimization')
//---
OptimizationDeltaJump optimizationDeltaJump =
new OptimizationDeltaJump(ruleBlock
, errorFunction, parameterList);
// Number optimization of iterations
optimizationDeltaJump.setMaxIterations(20);
optimizationDeltaJump.optimize(true);
</pre>
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<p>
The error funcion (in this particular case, ErrorFunctionQualify) can be just any error function, the structure for the code should be like this:
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<pre>
public class ErrorFunctionQualify extends ErrorFunction {
public double evaluate(RuleBlock ruleBlock) {
double error;
// Caculate your desired error here...
return error;
}
}
</pre>
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