def fuzzyOutputSystem(A, B, A1):
R = []
for i in range(0, int(A.size / A[0].size)):
R.append(fuzzy.relation_min(A[i], B[i]))
R = numpy.array(R)
mx = -100
R_max = []
h = []
count = 0
for i in range(0, int(R[0].size / R[0][0].size)):
for j in range(0, int(R[0][0].size)):
for k in range(0, int(R.size / R[0].size)):
if mx < R[k][i][j]:
mx = R[k][i][j]
h.append(mx)
mx = -100
count += 1
if len(h) == int(R[0][0].size):
R_max.append(h)
h = []
R_max = numpy.array(R_max)
result = fuzzy.maxmin_composition(A1, R_max)
return result
def fuzzyOutput(A, B, A1):
R = fuzzy.relation_min(A, B)
if A1.size != R.size:
for i in range(0, R.size - A1.size + 1):
A1 = numpy.concatenate(
(A1, numpy.array([numpy.zeros(R[0].size + 1)])))
result = fuzzy.maxmin_composition(A1, R)
return result
print("Matriks Suhu:")
print(in_1)
print("")
print("Matriks Kelembaban:")
print(in_2)
print("")
print("Matriks CO:")
print(in_3)
print("")
print("Matriks NO2:")
print(in_4)
rul = []
for i in range(5):
for j in range(5):
rule = fuzz.relation_min(in_3[i], in_4[j])
rul.append(rule)
#print(rule)
penyebut = np.sum(rul)
#Pembilang
rul = []
for i in range(5):
for j in range(5):
rule = fuzz.relation_min(in_3[i], in_4[j])
rulxx = rule * FAM[i][j]
rul.append(rulxx)
#print(rulxx)
pembilang = np.sum(rul)
#print (pembilang)
#print (penyebut)
hasil = pembilang / penyebut
print("Rendah : " + str(in_3[2]))
#%%
print("Matriks Nilai wawancara")
print(in_1)
print("")
print("Matriks Nilai psikotes")
print(in_2)
print("Matriks Nilai tpa")
print(in_3)
#%%
#Inferensi dan Defazzifikasi dengan Metode Sugeno
#Penyebut
rul = []
for i in range(3):
for j in range(3):
rule = fuzz.relation_min(in_1[i], in_2[j])
rul.append(rule)
penyebut = np.sum(rul)
#Pembilang
rul = []
for i in range(3):
for j in range(3):
rule = fuzz.relation_min(in_1[i], in_2[j])
rulxx = rule * M[i][j]
rul.append(rulxx)
pembilang = np.sum(rul)
hasil = pembilang / penyebut
print("Index Kelayakan Diterima : " + str(hasil))
if hasil >= 0 and hasil <= 20:
def ispu_prediction(input_suhu, input_kelembaban, input_CO, input_NO2):
# Generate universe variables
suhu = np.arange(0, 51, 1)
kelembaban = np.arange(0, 101, 1)
CO = np.arange(0, 101, 1)
NO2 = np.arange(0, 12001, 1)
# Generate fuzzy membership functions
dingin = fuzz.trapmf(suhu, [0, 0, 18.5, 20.5])
sejuk = fuzz.trimf(suhu, [18.5, 20.5, 22.8])
nyaman = fuzz.trimf(suhu, [20.5, 22.8, 25.8])
hangat = fuzz.trimf(suhu, [22.8, 25.8, 27.2])
panas = fuzz.trapmf(suhu, [25.8, 27.2, 51, 51])
sangat_kering = fuzz.trimf(kelembaban, [0, 15, 25])
kering = fuzz.trimf(kelembaban, [15, 25, 45])
ideal = fuzz.trimf(kelembaban, [25, 45, 65])
lembab = fuzz.trimf(kelembaban, [45, 65, 85])
sangat_lembab = fuzz.trimf(kelembaban, [65, 85, 101])
baik = fuzz.trimf(CO, [0, 7, 12])
sedang = fuzz.trimf(CO, [10, 15, 25])
tidak_sehat = fuzz.trimf(CO, [17, 25, 32])
sangat_tidak_sehat = fuzz.trimf(CO, [25, 34, 46])
berbahaya = fuzz.trapmf(CO, [34, 46, 101, 101])
baik_x = fuzz.trapmf(NO2, [0, 15, 30, 35])
sedang_x = fuzz.trapmf(NO2, [30, 35, 50, 75])
tidak_sehat_x = fuzz.trimf(NO2, [55, 75, 85])
sangat_tidak_sehat_x = fuzz.trimf(NO2, [75, 85, 100])
berbahaya_x = fuzz.trapmf(NO2, [100, 120, 150, 300])
BA = 50
SE = 100
TS = 199
STS = 299
BE = 500
BA = 50
SE = 100
TS = 199
STS = 299
BE = 500
FAM = [[BA, SE, TS, STS, BE], [SE, SE, TS, STS, BE], [TS, TS, TS, STS, BE],
[STS, STS, STS, STS, BE], [BE, BE, BE, BE, BE]]
suhu_wilayah = int(input_suhu)
kelembaban_wilayah = int(input_kelembaban)
CO_wilayah = int(input_CO) * 11.5 / 1000
NO2_wilayah = int(input_NO2) * 1.88
in_1 = []
in_1.append(fuzz.interp_membership(suhu, dingin, suhu_wilayah))
in_1.append(fuzz.interp_membership(suhu, sejuk, suhu_wilayah))
in_1.append(fuzz.interp_membership(suhu, nyaman, suhu_wilayah))
in_1.append(fuzz.interp_membership(suhu, hangat, suhu_wilayah))
in_1.append(fuzz.interp_membership(suhu, panas, suhu_wilayah))
in_2 = []
in_2.append(
fuzz.interp_membership(kelembaban, sangat_kering, kelembaban_wilayah))
in_2.append(fuzz.interp_membership(kelembaban, kering, kelembaban_wilayah))
in_2.append(fuzz.interp_membership(kelembaban, ideal, kelembaban_wilayah))
in_2.append(fuzz.interp_membership(kelembaban, lembab, kelembaban_wilayah))
in_2.append(
fuzz.interp_membership(kelembaban, sangat_lembab, kelembaban_wilayah))
in_3 = []
in_3.append(fuzz.interp_membership(CO, baik, CO_wilayah))
in_3.append(fuzz.interp_membership(CO, sedang, CO_wilayah))
in_3.append(fuzz.interp_membership(CO, tidak_sehat, CO_wilayah))
in_3.append(fuzz.interp_membership(CO, sangat_tidak_sehat, CO_wilayah))
in_3.append(fuzz.interp_membership(CO, berbahaya, CO_wilayah))
in_4 = []
in_4.append(fuzz.interp_membership(NO2, baik_x, NO2_wilayah))
in_4.append(fuzz.interp_membership(NO2, sedang_x, NO2_wilayah))
in_4.append(fuzz.interp_membership(NO2, tidak_sehat_x, NO2_wilayah))
in_4.append(fuzz.interp_membership(NO2, sangat_tidak_sehat_x, NO2_wilayah))
in_4.append(fuzz.interp_membership(NO2, berbahaya_x, NO2_wilayah))
print("Derajat Keanggotaan Suhu:")
if in_1[0] > 0:
print("dingin :" + str(in_1[0]))
if in_1[1] > 0:
print("sejuk :" + str(in_1[1]))
if in_1[2] > 0:
print("nyaman :" + str(in_1[2]))
if in_1[3] > 0:
print("hangat :" + str(in_1[3]))
if in_1[4] > 0:
print("panas :" + str(in_1[4]))
print("")
print("Derajat Keanggotaan Kelembaban:")
if in_2[0] > 0:
print("sangat kering :" + str(in_2[0]))
if in_2[1] > 0:
print("kering :" + str(in_2[1]))
if in_2[2] > 0:
print("ideal :" + str(in_2[2]))
if in_2[3] > 0:
print("lembab :" + str(in_2[3]))
if in_2[4] > 0:
print("sangat lembab :" + str(in_2[4]))
print("")
print("Derajat Keanggotaan CO:")
if in_3[0] > 0:
print("baik :" + str(in_3[0]))
if in_3[1] > 0:
print("sedang :" + str(in_3[1]))
if in_3[2] > 0:
print("tidak sehat :" + str(in_3[2]))
if in_3[3] > 0:
print("sangat tidak sehat :" + str(in_3[3]))
if in_3[4] > 0:
print("berbahaya :" + str(in_3[4]))
print("")
print("Derajat Keanggotaan NO2:")
if in_4[0] > 0:
print("baik :" + str(in_4[0]))
if in_4[1] > 0:
print("sedang :" + str(in_4[1]))
if in_4[2] > 0:
print("tidak sehat :" + str(in_4[2]))
if in_4[3] > 0:
print("sangat tidak sehat :" + str(in_4[3]))
if in_4[4] > 0:
print("berbahaya :" + str(in_4[4]))
print("Matriks Suhu:")
print(in_1)
print("")
print("Matriks Kelembaban:")
print(in_2)
print("")
print("Matriks CO:")
print(in_3)
print("")
print("Matriks NO2:")
print(in_4)
rul = []
for i in range(5):
for j in range(5):
rule = fuzz.relation_min(in_3[i], in_4[j])
rul.append(rule)
#print(rule)
penyebut = np.sum(rul)
#Pembilang
rul = []
for i in range(5):
for j in range(5):
rule = fuzz.relation_min(in_3[i], in_4[j])
rulxx = rule * FAM[i][j]
rul.append(rulxx)
#print(rulxx)
pembilang = np.sum(rul)
#print (pembilang)
#print (penyebut)
hasil = pembilang / penyebut
#print (hasil)
#logic hasil
print("ISPU :" + str(hasil))
if hasil >= 0 and hasil <= 50.5:
print("Baik")
if hasil > 50.5 and hasil <= 100.5:
print("Sedang")
if hasil > 100.5 and hasil <= 199.5:
print("Tidak Sehat")
if hasil > 199.5 and hasil <= 299.5:
print("Sangat Tidak Sehat")
if hasil >= 299.5:
print("Berbahaya")
return hasil, suhu_wilayah, kelembaban_wilayah, CO_wilayah, NO2_wilayah