public static double getLindisSumReverse(this SAFuzzySystem source, int indexDataBase = 0)
{
double result = 0.0;
if (source != null)
{
double temp = 0.0;
for (int i = 0; i < source.CountFeatures; i++)
{
temp = 0.0;
List <Term> termList = source.RulesDatabaseSet[indexDataBase].TermsSet.Where(x => x.NumVar == i).ToList();
if (termList.Count() <= 1)
{
temp = 0.0;
}
else
{
for (int j = 0; j < termList.Count; j++)
{
for (int k = j + 1; k < termList.Count; k++)
{
temp += 1 - TermOnterpreting.getIndexByLinds(termList[j], termList[k], termList);
}
}
}
result += temp;
}
result = result / (double)source.CountFeatures;
}
return(result);
}
public override SAFuzzySystem TuneUpFuzzySystem(SAFuzzySystem Approx, ILearnAlgorithmConf conf)
{
SAFuzzySystem result = Approx;
double minValue = 5;
int minFeature = 0;
int minATerm = 0;
int minBTerm = 1;
int indexDatabase = 0;
for (int i = 0; i < result.CountFeatures; i++)
{
List <Term> soureceByFeature = result.RulesDatabaseSet[indexDatabase].TermsSet.Where(x => x.NumVar == i).ToList();
for (int j = 0; j < soureceByFeature.Count(); j++)
{
for (int k = j + 1; k < soureceByFeature.Count(); k++)
{
double temp = TermOnterpreting.getIndexByLinds(soureceByFeature[j], soureceByFeature[k], soureceByFeature);
if (temp < minValue)
{
minValue = temp;
minATerm = j;
minBTerm = k;
minFeature = i;
}
}
}
}
result = BreakCrossTerm(result, minFeature, minATerm, minBTerm, indexDatabase);
result.RulesDatabaseSet[0].TermsSet.Trim();
return(result);
}
public static double getIndexSumReverse(this SAFuzzySystem source, double goodsForBorder = 0, double goodsForAreas = 0, int indexDataBase = 0)
{
double result = 0.0;
if (goodsForBorder == 0)
{
goodsForBorder = FuzzyCore.Properties.Settings.Default.Pareto_simpler_UnionTerms_byBorderPercent * 0.01;
}
if (goodsForAreas == 0)
{
goodsForAreas = FuzzyCore.Properties.Settings.Default.Pareto_simpler_UnionTerms_bySqarePercent * 0.01;
}
if (source != null)
{
double temp = 0;
for (int i = 0; i < source.CountFeatures; i++)
{
temp = 0.0;
List <Term> termList = source.RulesDatabaseSet[indexDataBase].TermsSet.Where(x => x.NumVar == i).ToList();
if (termList.Count() <= 1)
{
temp = 1.0;
}
else
{
for (int j = 0; j < termList.Count; j++)
{
for (int k = j + 1; k < termList.Count; k++)
{
double[] tempParts = { (1.0 - TermOnterpreting.getG3(termList[j], termList[k], termList.Count(), source.LearnSamplesSet.InputAttributes[i].Scatter, goodsForBorder, goodsForAreas))
,
(1.0 - TermOnterpreting.getIndexByLinds(termList[j], termList[k], termList)) };
temp += tempParts.Max();
}
}
}
result += temp;
}
result = result / (double)source.CountFeatures;
}
return(result);
}