Merge remote-tracking branch 'upstream/master'

This commit is contained in:
Wojciech Łukasik 2020-05-19 22:21:19 +02:00
commit a5ae04fc5a
19 changed files with 340 additions and 3 deletions

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<content url="file://$MODULE_DIR$">
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Raport_444420.md Normal file
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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)`).

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@ -9,7 +9,7 @@ from agent import Agent
from settings import Settings
from board import create_board, draw_board
from random import randint, choice
from mcda import choseProducts
# Inicjalizacja programu i utworzenie obiektu ekrany
def run():
@ -21,6 +21,8 @@ def run():
board = create_board(screen)
my_tree = decision_tree.build_tree(data.learning_data)
produsctsFromSupply = choseProducts(5)
# for row in board:
# for field in row:
# print(field.cost_of_travel)

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mcda.py Normal file
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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

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product.py Normal file
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class Product:
def __init__(self, color, shape, mass, size):
self.color = color
self.shape = shape
self.mass = mass
self.size = size

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supply.py Normal file
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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