/// <summary>
/// compute the similarity of case base's cases and problem case
///
/// </summary>
/// <param name="cases"></param>
/// <param name="problem"></param>
/// <returns></returns>
public ArrayList ComputeSimilarity(ArrayList cases, Case problem)
{
if (_env == null)
{
throw new ContextException("environment variable is not set");
}
ICBRContext ctx = CBRContextManager.GetCBRContext(_env);
if (ctx == null)
{
throw new ContextException("not set context");
}
ISimilarity sim = (ISimilarity)ctx.GetSimilarity();
if (sim == null)
{
throw new ContextException("similarity method is not set");
}
ArrayList stats = new ArrayList();
double similarityThrehold = ctx.GetSimilarityThrehold();
for (int i = 0; i < cases.Count; i++)
{
Case solution = (Case)cases[i];
double similarity = sim.Compare(problem, solution);
//continue if the similarity by comparing is lower than the
//similarity threhold in context setting
if (similarity < similarityThrehold)
{
continue;
}
IStat s = StatFactory.newInstance();
s.SetCBRCase(solution);
s.SetCaseSimilarity(similarity);
//bi-sort similarity
if (stats.Count <= 0)
{
stats.Add(s);
continue;
}
SortSimilarity(stats, s);
}
return(stats);
}
[SetUp] public void Init()
{
if (list.Count > 0)
{
list.Clear();
}
c1.AddFeature("speed", FeatureType.TYPE_FEATURE_FLOAT,
2.0, 0.5, false, false);
c2.AddFeature("speed", FeatureType.TYPE_FEATURE_FLOAT,
3.8, 0.5, false, false);
c3.AddFeature("speed", FeatureType.TYPE_FEATURE_FLOAT,
7.0, 0.5, false, false);
c4.AddFeature("speed", FeatureType.TYPE_FEATURE_FLOAT,
9.0, 0.5, false, false);
c5.AddFeature("speed", FeatureType.TYPE_FEATURE_FLOAT,
5.0, 0.5, false, false);
c1.AddFeature("temperature", FeatureType.TYPE_FEATURE_FLOAT,
3.0, 0.3, false, false);
c2.AddFeature("temperature", FeatureType.TYPE_FEATURE_FLOAT,
4.0, 0.3, false, false);
c3.AddFeature("temperature", FeatureType.TYPE_FEATURE_FLOAT,
2.0, 0.3, false, false);
c4.AddFeature("temperature", FeatureType.TYPE_FEATURE_FLOAT,
7.0, 0.3, false, false);
c5.AddFeature("temperature", FeatureType.TYPE_FEATURE_FLOAT,
1.0, 0.3, false, false);
c1.AddFeature("quality", FeatureType.TYPE_FEATURE_FLOAT,
1.0, 0.2, false, false);
c2.AddFeature("quality", FeatureType.TYPE_FEATURE_FLOAT,
2.0, 0.2, false, false);
c3.AddFeature("quality", FeatureType.TYPE_FEATURE_FLOAT,
5.0, 0.2, false, false);
c4.AddFeature("quality", FeatureType.TYPE_FEATURE_FLOAT,
7.0, 0.2, false, false);
c5.AddFeature("quality", FeatureType.TYPE_FEATURE_FLOAT,
3.0, 0.2, false, false);
c1.AddFeature("result", FeatureType.TYPE_FEATURE_FLOAT,
1.0, 0, true, false);
c2.AddFeature("result", FeatureType.TYPE_FEATURE_FLOAT,
2.0, 0, true, false);
c3.AddFeature("result", FeatureType.TYPE_FEATURE_FLOAT,
6.0, 0, true, false);
c4.AddFeature("result", FeatureType.TYPE_FEATURE_FLOAT,
8.0, 0, true, false);
c5.AddFeature("result", FeatureType.TYPE_FEATURE_FLOAT,
11.0, 0, true, false);
IStat s1 = StatFactory.newInstance();
s1.SetCBRCase(c1);
s1.SetCaseSimilarity(400.03);
list.Add(s1);
IStat s2 = StatFactory.newInstance();
s2.SetCBRCase(c2);
s2.SetCaseSimilarity(300.3);
list.Add(s2);
IStat s3 = StatFactory.newInstance();
s3.SetCBRCase(c3);
s3.SetCaseSimilarity(200.4);
list.Add(s3);
IStat s4 = StatFactory.newInstance();
s4.SetCBRCase(c4);
s4.SetCaseSimilarity(100.45);
list.Add(s4);
IStat s5 = StatFactory.newInstance();
s5.SetCBRCase(c5);
s5.SetCaseSimilarity(80.23);
list.Add(s5);
//test case 1
stat1 = StatFactory.newInstance();
stat1.SetCBRCase(c1);
stat1.SetCaseSimilarity(111.098);
//test case 2 for upper bound
stat2 = StatFactory.newInstance();
stat2.SetCBRCase(c1);
stat2.SetCaseSimilarity(50.098);
//test case 3 for under bound
stat3 = StatFactory.newInstance();
stat3.SetCBRCase(c1);
stat3.SetCaseSimilarity(1110.098);
}
