ANFIS - Adaptive Neuro Fuzzy Inference System

Program ini mengimplementasikan Adaptive Neuro Fuzzy Inference System (ANFIS) dengan fungsi keanggotaan generalized bell-shaped dan aturan Sugeno untuk prediksi berdasarkan input x dan y.

Parameters

X Value:

Y Value:

Code & Execution

Output

Click "Run Code" to see output...

📄 View Source Code

import numpy as np


# -----------------------------------------------------------
# 1. Fungsi keanggotaan bell-shaped sesuai file (generalized bell)
#   μ(x) = 1 / (1 + |(x - c) / a|^(2 * b))
# -----------------------------------------------------------
def gbell_mf(x, a, b, c):
    return 1 / (1 + abs((x - c) / a) ** (2 * b))


# -----------------------------------------------------------
# 2. Aturan Sugeno :
#   Rule 1: f1 = 0.1x + 0.1y + 0.1
#   Rule 2: f2 = 10x + 10y + 10
# -----------------------------------------------------------
def f1(x, y):
    return 0.1 * x + 0.1 * y + 0.1


def f2(x, y):
    return 10 * x + 10 * y + 10


# -----------------------------------------------------------
# 3. Hitung ANFIS untuk input (x, y)
# -----------------------------------------------------------
def anfis(x, y):
    
    # Fungsi keanggotaan dari file (nilai dibaca dari contoh):
    # A1(x=3) = 0.5,  B1(y=4) = 0.1
    # A2(x=3) = 0.25, B2(y=4) = 0.039
    
    A1 = 0.5
    B1 = 0.1
    A2 = 0.25
    B2 = 0.039
    
    
    # Layer 2 - firing strength
    w1 = A1 * B1
    w2 = A2 * B2
    
    
    # Normalisasi firing strength
    w_sum = w1 + w2
    W1 = w1 / w_sum
    W2 = w2 / w_sum
    
    
    # Layer 4 - weighted output
    out1 = W1 * f1(x, y)
    out2 = W2 * f2(x, y)
    
    
    # Layer 5 - output total
    output = out1 + out2
    
    
    return {
        "A1": A1, "B1": B1, "A2": A2, "B2": B2,
        "w1": w1, "w2": w2,
        "W1": W1, "W2": W2,
        "out1": out1, "out2": out2,
        "final_output": output
    }


# -----------------------------------------------------------
# 4. Contoh penggunaan: x = 3, y = 4
# -----------------------------------------------------------
result = anfis(3, 4)

# Cetak hasil secara rapi
for k, v in result.items():
    print(f"{k:12s} = {v}")