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AHP.py
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AHP.py
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import streamlit as st #For build and share web apps
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt #For graphical comparison and analysis
@st.cache_data
def get_weight(A, str):
n = A.shape[0]
e_vals, e_vecs = np.linalg.eig(A)
lamb = max(e_vals)
w = e_vecs[:, e_vals.argmax()]
w = w / np.sum(w) # Normalization
# Consistency Checking
ri = {1: 0, 2: 0, 3: 0.58, 4: 0.9, 5: 1.12, 6: 1.24,
7: 1.32, 8: 1.41, 9: 1.45, 10: 1.49, 11: 1.51}
ci = (lamb - n) / (n - 1)
cr = ci / ri[n]
print("The normalized eigen vector:")
print(w)
print('CR = %f' % cr)
if cr >= 0.1:
print("Failed Consistency check of "+str)
st.error("Failed Consistency check of "+str)
return w
def plot_graph(x, y, ylabel, title):
# Create a horizontal bar chart
fig, ax = plt.subplots()
ax.bar(y, x, color='#FF4B4B')
ax.set_facecolor('#F0F2F6')
# Set title and axis labels
ax.set_title(title)
ax.set_xlabel(ylabel)
ax.set_ylabel("Values")
return fig
@st.cache_data
def calculate_ahp(A, B, n, m, criterias, alternatives):
for i in range(0, n):
for j in range(i, n):
if i != j:
A[j][i] = float(1/A[i][j])
# print("A : ")
# print(str(A))
dfA = pd.DataFrame(A)
# Use tabel instead of dataframe because dataframe are interactable
st.markdown(" #### Criteria Table")
st.table(dfA)
for k in range(0, n):
for i in range(0, m):
for j in range(i, m):
if i != j:
B[k][j][i] = float(1/B[k][i][j])
# print("B : ")
# print(str(B))
st.write("---")
for i in range(0, n):
dfB = pd.DataFrame(B[i])
# Use tabel instead of dataframe because dataframe are interactable
st.markdown(" #### Alternative Table for Criterion " + criterias[i])
st.table(dfB)
W2 = get_weight(A, "Criteria Table")
W3 = np.zeros((n, m))
for i in range(0, n):
w3 = get_weight(B[i], "Alternatives Table for Criterion "+ criterias[i])
W3[i] = w3
W = np.dot(W2, W3)
st.pyplot(plot_graph(W2, criterias, "Criteria", "Weights of Criteria"))
st.pyplot(plot_graph(W, alternatives, "Alternatives", "Optimal Alternative for given Criteria"))
st.balloons()
def main():
st.set_page_config(page_title="AHP Calculator", page_icon=":bar_chart:")
st.header("AHP Calculator")
# st.write("Bla bla bla .... contentttt about AHP and mcdm")
st.sidebar.title("Criteria & Alternatives")
cri = st.sidebar.text_input("Enter Criteria")
alt = st.sidebar.text_input("Enter Alternatives")
criterias = cri.split(",")
alternatives = alt.split(",")
st.sidebar.info("Enter multiple values of Criteria & Alternatives, seprated by comma without any spaces.")
st.sidebar.info("Example : Car,Bus,Truck")
if cri and alt:
with st.expander("Criteria Weights"):
st.subheader("Pairwise comparision for Criteria")
st.write("---")
n = len(criterias)
A = np.zeros((n, n))
Aradio = np.zeros((n,n))
for i in range(0, n):
for j in range(i, n):
if i == j:
A[i][j] = 1
else:
st.markdown(" ##### Criterion "+criterias[i] + " comparision with Criterion " +criterias[j])
criteriaradio = st.radio("Select higher priority criterion ",(criterias[i], criterias[j],), horizontal=True)
if criteriaradio == criterias[i]:
A[i][j] = st.slider(label="how much higher "+ criterias[i] +" is in comparision with "+criterias[j]+ " ?",min_value= 1,max_value= 9,value= 1)
A[j][i] = float(1/A[i][j])
else:
A[j][i] = st.slider(label="how much higher "+ criterias[j] +" is in comparision with "+criterias[i]+ " ?",min_value= 1,max_value= 9,value= 1)
A[i][j] = float(1/A[j][i])
with st.expander("Alternative Weights"):
st.subheader("Pairwise comparision for Alternatives")
m = len(alternatives)
B = np.zeros((n, m, m))
for k in range(0, n):
st.write("---")
st.markdown(" ##### Alternative comparision for Criterion "+criterias[k])
for i in range(0, m):
for j in range(i, m):
if i == j:
B[k][i][j] = 1
else:
alternativeradio = st.radio("Select higher priority alternative for criteria "+criterias[k] ,(alternatives[i], alternatives[j],), horizontal=True)
if alternativeradio == alternatives[i]:
B[k][i][j] = st.slider("Considering Criterion " + criterias[k] + ", how much higher " + alternatives[i] + " is in comparision with " + alternatives[j]+" ?", 1, 9, 1)
B[k][j][i] = float(1/B[k][i][j])
else:
B[k][j][i] = st.slider("Considering Criterion " + criterias[k] + ", how much higher " + alternatives[j] + " is in comparision with " + alternatives[i]+" ?", 1, 9, 1)
B[k][i][j] = float(1/B[k][j][i])
btn = st.button("Calculate AHP")
st.write("##")
if btn:
calculate_ahp(A, B, n, m, criterias, alternatives)
if __name__ == '__main__':
main()