static void Main(string[] args)
{
// Initialize the case base
org.opencbr.core.engine.DefaultEngine _engine = new org.opencbr.core.engine.DefaultEngine();
string _env = @"D:\projects\opencbr\sample\workspace\config.xml";
_engine.SetEnvironmentVariable(_env);
// Initialize the problem
Case _problem = new Case(1, "cooling", "cooling problem");
_problem.AddFeature("speed", FeatureType.TYPE_FEATURE_FLOAT,
19.0, 0.3, false, false);
_problem.AddFeature("temp", FeatureType.TYPE_FEATURE_FLOAT,
44.0, 0.7, false, false); ////initialize to 51 or 44 to demo retrieval of closest cases (3 versus 4) from Database
_problem.AddFeature("quality", FeatureType.TYPE_FEATURE_FLOAT,
232.0, 1.0, false, false);
_engine.SetProblem(_problem);
// Run the reasoning engine
_engine.Startup();
_engine.Run();
// Print the result of reasoning
org.opencbr.core.context.ICBRContext ctx = _engine.GetCBRContext();
org.opencbr.core.express.Case c = ctx.GetSolutionCase();
Console.WriteLine(c);
}
/// <summary>
/// compute the similarity between problem and solution
/// throw exception NoSupportTypeException
/// </summary>
/// <param name="problem"></param>
/// <param name="solution"></param>
/// <returns>the value of similarity</returns>
public double Compare(org.opencbr.core.express.Case problem,
org.opencbr.core.express.Case solution)
{
if (problem == null || solution == null)
{
return(0);
}
double totalSimilarity = 0;
ArrayList problemFeatures = problem.GetFeatures();
ArrayList solutionFeatures = solution.GetFeatures();
if (problemFeatures != null && solutionFeatures != null &&
problemFeatures.Count > 0 && solutionFeatures.Count > 0 &&
problemFeatures.Count == solutionFeatures.Count)
{
int length = problemFeatures.Count;
for (int i = 0; i < length; i++)
{
Feature problemf = (Feature)problemFeatures[i];
string problemFeatureName = problemf.GetFeatureName();
if (problemFeatureName == null ||
problemFeatureName.Length <= 0)
{
//throw exception
}
for (int j = 0; j < length; j++)
{
Feature solutionf = (Feature)solutionFeatures[j];
string solutionFeatureName = solutionf.GetFeatureName();
if (solutionFeatureName == null ||
solutionFeatureName.Length <= 0)
{
//throw exception
}
//compute the similarity if same feature name and same weight
//and not key
if (problemFeatureName.Equals(solutionFeatureName) &&
problemf.GetWeight() == solutionf.GetWeight() &&
problemf.GetIsKey() == false &&
solutionf.GetIsKey() == false &&
problemf.GetFeatureType() == solutionf.GetFeatureType()
)
{
double weight = problemf.GetWeight();
double diff = Math.Pow(weight, 2)
* Compute(problemf, solutionf);
if (Version.DEBUG)
{
System.Console.WriteLine(problemf.GetFeatureName()
+ "'s weight: " + weight
+ "\n\tdata: " + problemf.GetFeatureValue()
+ "\t" + solutionf.GetFeatureValue());
}
totalSimilarity += diff;
}
}
}
}
else
{
//throw exception
}
double distance = Math.Sqrt(totalSimilarity);
double result = 1 / (1 + _alpha * distance);
if (Version.DEBUG)
{
System.Console.WriteLine("similarity is " + result);
//System.Console.WriteLine("alpha is " + _alpha);
}
return(result);
}
