private void PopulateDgv(List <Gejala> rule, Individu terbaik)
{
for (int i = 0; i < rule.Count; i++)
{
double[] nilaiDensity = terbaik.find(rule[i].GetKodeGejala());
this.beliefDgv.Rows.Add(rule[i].GetKodeGejala(), nilaiDensity[0], nilaiDensity[1], nilaiDensity[2]);
}
}
private List <Gejala> Cross(Individu a, Individu b, Individu alpha)
{
List <Gejala> hasilKross = new List <Gejala>();
for (int i = 0; i < rule.Count; i++)
{
Gejala g = new Gejala();
double[] aDen = a.find(rule[i].GetKodeGejala());
double[] bDen = b.find(rule[i].GetKodeGejala());
double[] alphaden = alpha.find(rule[i].GetKodeGejala());
double[] hasil = new double[3];
for (int j = 0; j < 3; j++)
{
hasil[j] = aDen[j] + alphaden[j] * (bDen[j] - aDen[j]);
}
g.SetKodeGejala(rule[i].GetKodeGejala());
g.SetPenyakit(hasil);
hasilKross.Add(g);
}
return(hasilKross);
}
public DempsterShafer(Individu individu, List <Kasus> data)
{
this.individu = individu;
this.data = data;
for (int i = 0; i < data.Count; i++)
{
Console.Write("Kasus " + (i + 1) + " | ");
string[] gejala = data[i].GetGejala();
int jumlahM = (gejala.Length * 2) - 1;
List <List <Mass> > Masses = new List <List <Mass> >();
int mCounter = 0;
for (int j = 0; j < gejala.Length; j++)
{
double[] nilaiGejala = individu.find(gejala[j]);
double max = GetMaximumDensity(nilaiGejala); // max jadi nilai m
if (max == 1)
{
Mass m = new Mass();
m.SetPenyakit(GetKodePenyakit(nilaiGejala));
m.SetDensity(max);
string[] indikasi = data[i].GetDiagnosa();
int ada = 0;
foreach (string idk in indikasi)
{
if (m.GetPenyakit().Contains(idk))
{
ada++;
}
}
if (ada != 0)
{
counter++;
}
break;
}
//Console.WriteLine(gejala[j] + " " + max);
List <string> sTheta = new List <string>()
{
"theta"
};
if (j == 0) // gejala pertama
{
List <Mass> M = new List <Mass>();
Mass m = new Mass();
m.SetPenyakit(GetKodePenyakit(nilaiGejala));
m.SetDensity(max);
M.Add(m);
Mass mTheta = new Mass();
mTheta.SetPenyakit(sTheta);
mTheta.SetDensity(GetTheta(max));
M.Add(mTheta);
Masses.Add(M); // m1
//mCounter = 0;
}
else // gejala ke-2 dst
//Console.WriteLine("Gejala ke- " + gejala[j]);
{
List <Mass> M = new List <Mass>();
Mass m = new Mass();
m.SetPenyakit(GetKodePenyakit(nilaiGejala));
m.SetDensity(max);
M.Add(m);
//DebugString(m.GetPenyakit());
Mass mTheta = new Mass();
mTheta.SetPenyakit(sTheta);
mTheta.SetDensity(GetTheta(max));
M.Add(mTheta);
Masses.Add(M);
mCounter++;
List <Mass> matriksKombinasi = new List <Mass>();
matriksKombinasi = CombineMass(Masses[mCounter - 1], Masses[mCounter]);
List <Mass> mBaru = GetMassBaru(matriksKombinasi);
Masses.Add(mBaru);
mCounter++;
//Console.WriteLine(mCounter + " " + mBaru[mBaru.Count-1].GetDensity());
}
}
// ambil dari m yang terakhir, nilai yg terbesar
// bandingkan diagnosa pakar dg hasil (intersect)
// count+1 kalo ada;
mFinal = Masses[mCounter];
int indeksMaks = 0;
double terbesar = 0;
for (int x = 0; x < mFinal.Count; x++)
{
if (terbesar < mFinal[x].GetDensity())
{
terbesar = mFinal[x].GetDensity();
indeksMaks = x;
}
}
List <string> d = mFinal[indeksMaks].GetPenyakit();
DebugString(d);
Console.Write(" | Nilai Belief : " + terbesar);
Console.WriteLine();
string[] indi = data[i].GetDiagnosa();
int a = 0;
foreach (string idk in indi)
{
if (d.Contains(idk))
{
a++;
}
}
if (a != 0)
{
counter++;
}
//Console.WriteLine();
}
}
public DempsterShafer(Individu individu, List<Kasus> data)
{
this.individu = individu;
this.data = data;
for (int i = 0; i < data.Count; i++)
{
Console.Write("Kasus " + (i + 1) + " | ");
string[] gejala = data[i].GetGejala();
int jumlahM = (gejala.Length*2)-1;
List<List<Mass>> Masses = new List<List<Mass>>();
int mCounter = 0;
for (int j = 0; j < gejala.Length; j++)
{
double[] nilaiGejala = individu.find(gejala[j]);
double max = GetMaximumDensity(nilaiGejala); // max jadi nilai m
if (max == 1)
{
Mass m = new Mass();
m.SetPenyakit(GetKodePenyakit(nilaiGejala));
m.SetDensity(max);
string[] indikasi = data[i].GetDiagnosa();
int ada = 0;
foreach (string idk in indikasi)
{
if (m.GetPenyakit().Contains(idk))
{
ada++;
}
}
if (ada != 0)
{
counter++;
}
break;
}
//Console.WriteLine(gejala[j] + " " + max);
List<string> sTheta = new List<string>() { "theta" };
if (j == 0) { // gejala pertama
List<Mass> M = new List<Mass>();
Mass m = new Mass();
m.SetPenyakit(GetKodePenyakit(nilaiGejala));
m.SetDensity(max);
M.Add(m);
Mass mTheta = new Mass();
mTheta.SetPenyakit(sTheta);
mTheta.SetDensity(GetTheta(max));
M.Add(mTheta);
Masses.Add(M); // m1
//mCounter = 0;
} else { // gejala ke-2 dst
//Console.WriteLine("Gejala ke- " + gejala[j]);
List<Mass> M = new List<Mass>();
Mass m = new Mass();
m.SetPenyakit(GetKodePenyakit(nilaiGejala));
m.SetDensity(max);
M.Add(m);
//DebugString(m.GetPenyakit());
Mass mTheta = new Mass();
mTheta.SetPenyakit(sTheta);
mTheta.SetDensity(GetTheta(max));
M.Add(mTheta);
Masses.Add(M);
mCounter++;
List<Mass> matriksKombinasi = new List<Mass>();
matriksKombinasi = CombineMass(Masses[mCounter - 1], Masses[mCounter]);
List<Mass> mBaru = GetMassBaru(matriksKombinasi);
Masses.Add(mBaru);
mCounter++;
//Console.WriteLine(mCounter + " " + mBaru[mBaru.Count-1].GetDensity());
}
}
// ambil dari m yang terakhir, nilai yg terbesar
// bandingkan diagnosa pakar dg hasil (intersect)
// count+1 kalo ada;
mFinal = Masses[mCounter];
int indeksMaks = 0;
double terbesar = 0;
for (int x = 0; x < mFinal.Count; x++)
{
if (terbesar < mFinal[x].GetDensity())
{
terbesar = mFinal[x].GetDensity();
indeksMaks = x;
}
}
List<string> d = mFinal[indeksMaks].GetPenyakit();
DebugString(d);
Console.Write(" | Nilai Belief : " + terbesar);
Console.WriteLine();
string[] indi = data[i].GetDiagnosa();
int a = 0;
foreach (string idk in indi)
{
if (d.Contains(idk))
{
a++;
}
}
if (a != 0)
{
counter++;
}
//Console.WriteLine();
}
}
private void PopulateDgv(List<Gejala> rule, Individu terbaik)
{
for (int i = 0; i < rule.Count; i++)
{
double[] nilaiDensity = terbaik.find(rule[i].GetKodeGejala());
this.beliefDgv.Rows.Add(rule[i].GetKodeGejala(), nilaiDensity[0], nilaiDensity[1], nilaiDensity[2]);
}
}
private List<Gejala> Cross(Individu a, Individu b, Individu alpha)
{
List<Gejala> hasilKross = new List<Gejala>();
for (int i = 0; i < rule.Count; i++)
{
Gejala g = new Gejala();
double[] aDen = a.find(rule[i].GetKodeGejala());
double[] bDen = b.find(rule[i].GetKodeGejala());
double[] alphaden = alpha.find(rule[i].GetKodeGejala());
double[] hasil = new double[3];
for (int j = 0; j < 3; j++)
{
hasil[j] = aDen[j] + alphaden[j] * (bDen[j] - aDen[j]);
}
g.SetKodeGejala(rule[i].GetKodeGejala());
g.SetPenyakit(hasil);
hasilKross.Add(g);
}
return hasilKross;
}
