import OperationCompelement as comp
import OperationUnion as uni
import OperationIntersection as inter
import OperationImplication as imp
import Defuzzifier as defuz
import math
import matplotlib.pyplot as plt
#Contoh ini menggunakan mesin inferensi Tsukamoto
#Dengan operasi-operasi sebagai berikut :
#Union = min
#Intersection = max
#Implikasi = tsukamoto (khusus pada inferensi tsukamoto)
#Domain
distance = mf.linspace(200, 10000, 98001)
area = mf.linspace(4, 20, 16001)
facility = mf.linspace(0, 100, 10001)
price = mf.linspace(250, 1500, 12501)
#Fuzzy Set
distanceNear = ["trapmf", -math.inf, -math.inf, 2000, 4000]
distanceNearMf = mf.membership(distanceNear, distance)
plt.plot(distance, distanceNearMf, label="Near")
distanceMid = ["trapmf", 2000, 4000, 6000, 8000]
distanceMidMf = mf.membership(distanceMid, distance)
plt.plot(distance, distanceMidMf, label="Mid")
distanceFar = ["trapmf", 6000, 8000, math.inf, math.inf]
distanceFarMf = mf.membership(distanceFar, distance)
plt.plot(distance, distanceFarMf, label="Far")
plt.xlabel('Distance (m)')
import OperationUnion as uni import OperationIntersection as inter import OperationImplication as imp import Defuzzifier as defuz import math import matplotlib.pyplot as plt inpJarak = [500] inpJarakMf = [] inpLuas = [10] inpLuasMf = [] inpFasilitas = [60] inpFasilitasMf = [] #Domain jarak = mf.linspace(0, 10000, 10001) luas = mf.linspace(0, 20, 2001) fasilitas = mf.linspace(0, 100, 101) harga = mf.linspace(250, 1000, 75001) #Fuzzy Set jarakDekat = ["trapmf", -math.inf, -math.inf, 2000, 4000] jarakDekatMf = mf.membership(jarakDekat, jarak) plt.plot(jarak, jarakDekatMf) jarakSedang = ["trapmf", 2000, 4000, 6000, 8000] jarakSedangMf = mf.membership(jarakSedang, jarak) plt.plot(jarak, jarakSedangMf) jarakJauh = ["trapmf", 6000, 8000, math.inf, math.inf] jarakJauhMf = mf.membership(jarakJauh, jarak) plt.plot(jarak, jarakJauhMf) plt.show()
