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a5ae04fc5a
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165
Raport_444420.md
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165
Raport_444420.md
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@ -0,0 +1,165 @@
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|||||||
|
# Tomasz Kuczyński Raport - mcda
|
||||||
|
|
||||||
|
### Opis podprojektu
|
||||||
|
Podprojekt ma za zadanie wybrać określoną liczbę najlepszych produktów z dostawy.
|
||||||
|
Wykorzystuj on zmodyfikowaną motodę MCDA - Multiple Criteria Decision Analysis.
|
||||||
|
|
||||||
|
#### Uczenie modelu
|
||||||
|
Zbiór uczenia składa się z zdefiniowania wartości atrybutów:
|
||||||
|
|
||||||
|
```javascript
|
||||||
|
color = {'black': 16, 'gold': 10, 'purple': 5, 'brown': 7, 'blue': 12, 'white': 14, 'red': 13, 'orange': 11}
|
||||||
|
shape = {'rectangle': 15, 'pack': 19, 'square': 9, 'jar': 7}
|
||||||
|
size = {'small': 7, 'medium': 16, 'big': 13}
|
||||||
|
```
|
||||||
|
oraz ich wyliczenia:
|
||||||
|
```javascript
|
||||||
|
def sizeValue(X):
|
||||||
|
if X.size == 'small':
|
||||||
|
return X.mass/5
|
||||||
|
if X.size == 'medium':
|
||||||
|
return X.mass/10
|
||||||
|
if X.size == 'big':
|
||||||
|
return X.mass/20
|
||||||
|
```
|
||||||
|
|
||||||
|
Składa się róznierz z parametrów:
|
||||||
|
|
||||||
|
`weights` - waga danego parametru
|
||||||
|
|
||||||
|
`q` - współczynik pomyłki (granicy błędu) pomiędzy atrybutami
|
||||||
|
|
||||||
|
`p` - maksymalna dopuszczalna różnica pomiędy atrybutami
|
||||||
|
|
||||||
|
```javascript
|
||||||
|
parameters = {
|
||||||
|
'color': {'weights': 3, 'q': 1, 'p': 5},
|
||||||
|
'shape': {'weights': 4, 'q': 1, 'p': 6},
|
||||||
|
'mass': {'weights': 0.5, 'q': 2, 'p': 10},
|
||||||
|
'size': {'weights': 1, 'q': 1, 'p': 8}
|
||||||
|
}
|
||||||
|
```
|
||||||
|
|
||||||
|
#### Opis kodu w wspólnym projekcie
|
||||||
|
W wspólnym projekcie w pliku main.py wywołuje funkcję wybierania 5 produktów z dostawy:
|
||||||
|
|
||||||
|
```javascript
|
||||||
|
produsctsFromSupply = choseProducts(5)
|
||||||
|
```
|
||||||
|
|
||||||
|
próbna dostawa jest zapisana w pliku supply.py:
|
||||||
|
|
||||||
|
```javascript
|
||||||
|
def create_data_products():
|
||||||
|
allProducts = []
|
||||||
|
|
||||||
|
product = Product('black', 'rectangle', 51, 'small')
|
||||||
|
allProducts.append(product)
|
||||||
|
product = Product('black', 'rectangle', 51, 'small')
|
||||||
|
allProducts.append(product)
|
||||||
|
product = Product('gold', 'pack', 100, 'big')
|
||||||
|
allProducts.append(product)
|
||||||
|
...
|
||||||
|
return allProducts
|
||||||
|
|
||||||
|
```
|
||||||
|
|
||||||
|
Cały algorytm selekcji produktów znajduje się w pliku mcda.py.
|
||||||
|
|
||||||
|
Funkcja `getConcordance(gA, gB, q, p):` ma za zadanie wyliczyć `Concordance` czyli jakość produktu A względem produktu B, za pomocą wartości atrybutów A, B odpowiednio gA, gB oraz parametrów tego atrybutu q, p i zwrócić liczbę z zakresu [0,1].
|
||||||
|
|
||||||
|
```javascript
|
||||||
|
def getConcordance(gA, gB, q, p):
|
||||||
|
if gB <= gA + q:
|
||||||
|
return 1
|
||||||
|
if gB <= gA + p:
|
||||||
|
return (p - gB + gA) / (p - q)
|
||||||
|
return 0
|
||||||
|
```
|
||||||
|
|
||||||
|
Funkcja `getAllTypeConcordance(A, B)` ma za zadanie wyliczyć wszystkie typy `Concordance` oraz wyliczyć ich średnią ważoną:
|
||||||
|
|
||||||
|
```javascript
|
||||||
|
def getAllTypeConcordance(A, B):
|
||||||
|
concordance = 0.0
|
||||||
|
weight_sum = 0
|
||||||
|
|
||||||
|
parameter = parameters['color']
|
||||||
|
w, q, p = parameter['weights'], parameter['q'], parameter['p']
|
||||||
|
concordance += getConcordance(color[A.color], color[B.color], q, p) * w
|
||||||
|
weight_sum += w
|
||||||
|
|
||||||
|
parameter = parameters['shape']
|
||||||
|
w, q, p = parameter['weights'], parameter['q'], parameter['p']
|
||||||
|
concordance += getConcordance(shape[A.shape], shape[B.shape], q, p) * w
|
||||||
|
weight_sum += w
|
||||||
|
...
|
||||||
|
concordance /= weight_sum
|
||||||
|
return concordance
|
||||||
|
```
|
||||||
|
|
||||||
|
Funkcja `getConcordanceAllProducts()` ma za zadanie przy pomocy funkcji `getAllTypeConcordance(A, B)` wyliczyć `Concordance` dla wszystkich produktów i zwrócić wynik w postaci listy:
|
||||||
|
|
||||||
|
```javascript
|
||||||
|
def getConcordanceAllProducts():
|
||||||
|
C = []
|
||||||
|
|
||||||
|
for i in range(len(allProducts)):
|
||||||
|
c = 0
|
||||||
|
for j in range(len(allProducts)):
|
||||||
|
if j==i:
|
||||||
|
continue
|
||||||
|
else:
|
||||||
|
c += getAllTypeConcordance(allProducts[i], allProducts[j])
|
||||||
|
c /= len(allProducts)-1
|
||||||
|
C.append(c)
|
||||||
|
return C
|
||||||
|
```
|
||||||
|
|
||||||
|
Funkcja `choseProducts(number)` ma za zadanie wybrać `number` produktów z dostawy na podstawie listy `Concordance` zwróconej przez funkcję `getConcordanceAllProducts()`.
|
||||||
|
|
||||||
|
```javascript
|
||||||
|
def choseProducts(number):
|
||||||
|
C = getConcordanceAllProducts()
|
||||||
|
products = []
|
||||||
|
prev = -1
|
||||||
|
if number > len(allProducts):
|
||||||
|
return allProducts
|
||||||
|
while number > 0:
|
||||||
|
max = -1
|
||||||
|
if prev == -1:
|
||||||
|
max = 0
|
||||||
|
for j in range(len(allProducts)):
|
||||||
|
if prev == -1:
|
||||||
|
if C[max]<C[j]:
|
||||||
|
max = j
|
||||||
|
elif max == -1:
|
||||||
|
if C[prev]>C[j]:
|
||||||
|
max = j
|
||||||
|
elif C[max] < C[j] and C[j] < C[prev]:
|
||||||
|
max = j
|
||||||
|
prev = max
|
||||||
|
for j in range(len(allProducts)):
|
||||||
|
if C[max] == C[j]:
|
||||||
|
products.append(allProducts[j])
|
||||||
|
print(C[j])
|
||||||
|
number -= 1
|
||||||
|
if number == 0:
|
||||||
|
break
|
||||||
|
print(C)
|
||||||
|
return products
|
||||||
|
```
|
||||||
|
|
||||||
|
`print(C[j])` oraz `print(C)` służy do sprawdzenia poprawności algorytmu.
|
||||||
|
|
||||||
|
### Uruchomienie algorytmu i jego działanie
|
||||||
|
Film przedstawiający uruchomienie aplikacji:
|
||||||
|
https://www.youtube.com/watch?v=DmwDlJkjtjs
|
||||||
|
|
||||||
|
Parametry pojawiające się w terminalu:
|
||||||
|
|
||||||
|
1.Concordance `number` najlepszych produktów (`print(C[j])`).
|
||||||
|
|
||||||
|
2.Lista wszystkich Concordance ( `print(C)`).
|
||||||
|
|
||||||
|
|
BIN
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4
main.py
4
main.py
@ -9,7 +9,7 @@ from agent import Agent
|
|||||||
from settings import Settings
|
from settings import Settings
|
||||||
from board import create_board, draw_board
|
from board import create_board, draw_board
|
||||||
from random import randint, choice
|
from random import randint, choice
|
||||||
|
from mcda import choseProducts
|
||||||
|
|
||||||
# Inicjalizacja programu i utworzenie obiektu ekrany
|
# Inicjalizacja programu i utworzenie obiektu ekrany
|
||||||
def run():
|
def run():
|
||||||
@ -21,6 +21,8 @@ def run():
|
|||||||
board = create_board(screen)
|
board = create_board(screen)
|
||||||
my_tree = decision_tree.build_tree(data.learning_data)
|
my_tree = decision_tree.build_tree(data.learning_data)
|
||||||
|
|
||||||
|
produsctsFromSupply = choseProducts(5)
|
||||||
|
|
||||||
# for row in board:
|
# for row in board:
|
||||||
# for field in row:
|
# for field in row:
|
||||||
# print(field.cost_of_travel)
|
# print(field.cost_of_travel)
|
||||||
|
99
mcda.py
Normal file
99
mcda.py
Normal file
@ -0,0 +1,99 @@
|
|||||||
|
from supply import *
|
||||||
|
|
||||||
|
allProducts = create_data_products()
|
||||||
|
|
||||||
|
color = {'black': 16, 'gold': 10, 'purple': 5, 'brown': 7, 'blue': 12, 'white': 14, 'red': 13, 'orange': 11}
|
||||||
|
shape = {'rectangle': 15, 'pack': 19, 'square': 9, 'jar': 7}
|
||||||
|
size = {'small': 7, 'medium': 16, 'big': 13}
|
||||||
|
|
||||||
|
def sizeValue(X):
|
||||||
|
if X.size == 'small':
|
||||||
|
return X.mass/5
|
||||||
|
if X.size == 'medium':
|
||||||
|
return X.mass/10
|
||||||
|
if X.size == 'big':
|
||||||
|
return X.mass/20
|
||||||
|
parameters = {
|
||||||
|
'color': {'weights': 3, 'q': 1, 'p': 5},
|
||||||
|
'shape': {'weights': 4, 'q': 1, 'p': 6},
|
||||||
|
'mass': {'weights': 0.5, 'q': 2, 'p': 10},
|
||||||
|
'size': {'weights': 1, 'q': 1, 'p': 8}
|
||||||
|
|
||||||
|
}
|
||||||
|
def getConcordance(gA, gB, q, p):
|
||||||
|
if gB <= gA + q:
|
||||||
|
return 1
|
||||||
|
if gB <= gA + p:
|
||||||
|
return (p - gB + gA) / (p - q)
|
||||||
|
return 0
|
||||||
|
|
||||||
|
def getAllTypeConcordance(A, B):
|
||||||
|
concordance = 0.0
|
||||||
|
weight_sum = 0
|
||||||
|
|
||||||
|
parameter = parameters['color']
|
||||||
|
w, q, p = parameter['weights'], parameter['q'], parameter['p']
|
||||||
|
concordance += getConcordance(color[A.color], color[B.color], q, p) * w
|
||||||
|
weight_sum += w
|
||||||
|
|
||||||
|
parameter = parameters['shape']
|
||||||
|
w, q, p = parameter['weights'], parameter['q'], parameter['p']
|
||||||
|
concordance += getConcordance(shape[A.shape], shape[B.shape], q, p) * w
|
||||||
|
weight_sum += w
|
||||||
|
|
||||||
|
parameter = parameters['mass']
|
||||||
|
w, q, p = parameter['weights'], parameter['q'], parameter['p']
|
||||||
|
concordance += getConcordance(sizeValue(A), sizeValue(B), q, p) * w
|
||||||
|
weight_sum += w
|
||||||
|
|
||||||
|
parameter = parameters['size']
|
||||||
|
w, q, p = parameter['weights'], parameter['q'], parameter['p']
|
||||||
|
concordance += getConcordance(size[A.size], size[B.size], q, p) * w
|
||||||
|
weight_sum += w
|
||||||
|
|
||||||
|
concordance /= weight_sum
|
||||||
|
return concordance
|
||||||
|
|
||||||
|
def getConcordanceAllProducts():
|
||||||
|
C = []
|
||||||
|
|
||||||
|
for i in range(len(allProducts)):
|
||||||
|
c = 0
|
||||||
|
for j in range(len(allProducts)):
|
||||||
|
if j==i:
|
||||||
|
continue
|
||||||
|
else:
|
||||||
|
c += getAllTypeConcordance(allProducts[i], allProducts[j])
|
||||||
|
c /= len(allProducts)-1
|
||||||
|
C.append(c)
|
||||||
|
return C
|
||||||
|
|
||||||
|
def choseProducts(number):
|
||||||
|
C = getConcordanceAllProducts()
|
||||||
|
products = []
|
||||||
|
prev = -1
|
||||||
|
if number > len(allProducts):
|
||||||
|
return allProducts
|
||||||
|
while number > 0:
|
||||||
|
max = -1
|
||||||
|
if prev == -1:
|
||||||
|
max = 0
|
||||||
|
for j in range(len(allProducts)):
|
||||||
|
if prev == -1:
|
||||||
|
if C[max]<C[j]:
|
||||||
|
max = j
|
||||||
|
elif max == -1:
|
||||||
|
if C[prev]>C[j]:
|
||||||
|
max = j
|
||||||
|
elif C[max] < C[j] and C[j] < C[prev]:
|
||||||
|
max = j
|
||||||
|
prev = max
|
||||||
|
for j in range(len(allProducts)):
|
||||||
|
if C[max] == C[j]:
|
||||||
|
products.append(allProducts[j])
|
||||||
|
print(C[j])
|
||||||
|
number -= 1
|
||||||
|
if number == 0:
|
||||||
|
break
|
||||||
|
print(C)
|
||||||
|
return products
|
7
product.py
Normal file
7
product.py
Normal file
@ -0,0 +1,7 @@
|
|||||||
|
class Product:
|
||||||
|
|
||||||
|
def __init__(self, color, shape, mass, size):
|
||||||
|
self.color = color
|
||||||
|
self.shape = shape
|
||||||
|
self.mass = mass
|
||||||
|
self.size = size
|
64
supply.py
Normal file
64
supply.py
Normal file
@ -0,0 +1,64 @@
|
|||||||
|
from product import Product
|
||||||
|
|
||||||
|
|
||||||
|
def create_data_products():
|
||||||
|
allProducts = []
|
||||||
|
|
||||||
|
product = Product('black', 'rectangle', 51, 'small')
|
||||||
|
allProducts.append(product)
|
||||||
|
product = Product('black', 'rectangle', 51, 'small')
|
||||||
|
allProducts.append(product)
|
||||||
|
product = Product('gold', 'pack', 100, 'big')
|
||||||
|
allProducts.append(product)
|
||||||
|
product = Product('purple', 'rectangle', 100, 'big')
|
||||||
|
allProducts.append(product)
|
||||||
|
product = Product('brown', 'pack', 45, 'small')
|
||||||
|
allProducts.append(product)
|
||||||
|
product = Product('blue', 'rectangle', 50, 'medium')
|
||||||
|
allProducts.append(product)
|
||||||
|
product = Product('blue', 'square', 40, 'small')
|
||||||
|
allProducts.append(product)
|
||||||
|
product = Product('blue', 'rectangle', 35, 'small')
|
||||||
|
allProducts.append(product)
|
||||||
|
product = Product('gold', 'rectangle', 40, 'medium')
|
||||||
|
allProducts.append(product)
|
||||||
|
product = Product('gold', 'rectangle', 50, 'medium')
|
||||||
|
allProducts.append(product)
|
||||||
|
product = Product('brown', 'rectangle', 55, 'medium')
|
||||||
|
allProducts.append(product)
|
||||||
|
product = Product('brown', 'rectangle', 45, 'medium')
|
||||||
|
allProducts.append(product)
|
||||||
|
product = Product('white', 'rectangle', 40, 'medium')
|
||||||
|
allProducts.append(product)
|
||||||
|
product = Product('red', 'rectangle', 50, 'medium')
|
||||||
|
allProducts.append(product)
|
||||||
|
product = Product('blue', 'rectangle', 115, 'big')
|
||||||
|
allProducts.append(product)
|
||||||
|
product = Product('white', 'rectangle', 15, 'small')
|
||||||
|
allProducts.append(product)
|
||||||
|
product = Product('red', 'pack', 70, 'medium')
|
||||||
|
allProducts.append(product)
|
||||||
|
product = Product('orange', 'rectangle', 45, 'medium')
|
||||||
|
allProducts.append(product)
|
||||||
|
product = Product('blue', 'rectangle', 55, 'medium')
|
||||||
|
allProducts.append(product)
|
||||||
|
product = Product('gold', 'rectangle', 120, 'big')
|
||||||
|
allProducts.append(product)
|
||||||
|
product = Product('white', 'rectangle', 120, 'big')
|
||||||
|
allProducts.append(product)
|
||||||
|
product = Product('white', 'jar', 600, 'big')
|
||||||
|
allProducts.append(product)
|
||||||
|
product = Product('white', 'rectangle', 25, 'small')
|
||||||
|
allProducts.append(product)
|
||||||
|
product = Product('brown', 'jar', 500, 'big')
|
||||||
|
allProducts.append(product)
|
||||||
|
product = Product('brown', 'jar', 470, 'big')
|
||||||
|
allProducts.append(product)
|
||||||
|
product = Product('red', 'jar', 250, 'medium')
|
||||||
|
allProducts.append(product)
|
||||||
|
product = Product('black', 'jar', 250, 'medium')
|
||||||
|
allProducts.append(product)
|
||||||
|
product = Product('orange', 'jar', 250, 'medium')
|
||||||
|
allProducts.append(product)
|
||||||
|
|
||||||
|
return allProducts
|
Loading…
Reference in New Issue
Block a user