fuzzytri 1.1.0

Noravshan mantiq nazariyasi va amaliyoti uchun Python kutubxonasi

FuzzyTri

Noravshan mantiq nazariyasi va amaliyoti uchun Python kutubxonasi. Uchburchak fuzzy sonlar va ular ustida amallarni bajarish imkoniyati.

## Xususiyatlari

- ✅ Uchburchak fuzzy sonlar bilan ishlash
- ✅ Arifmetik amallar (qo'shish, ayirish, ko'paytirish, bo'lish)
- ✅ Mantiqiy amallar (birlashma, kesishma, komplement)
- ✅ Alfa-kesim operatsiyalari
- ✅ 5 xil defuzzifikatsiya usullari
- ✅ Vizualizatsiya va grafiklar
- ✅ Kophadli transformatsiyalar (exp, sin, cos)
- ✅ JSON va dictionary serializatsiya

## O'rnatish

### PyPI orqali (kelajakda):

```bash
pip install fuzzytri

Manba koddan o'rnatish:

bash

git clone https://github.com/username/fuzzytri.git
cd fuzzytri
pip install -e .

Tezkor Boshlash

python

from fuzzytri import FuzzyTriangular, DefuzzificationMethod

# Fuzzy sonlar yaratish
yosh = FuzzyTriangular(0, 20, 40, "Yosh")
orta_yosh = FuzzyTriangular(30, 45, 60, "O'rta yosh")
qari = FuzzyTriangular(50, 70, 100, "Qari")

# A'zolik darajasini hisoblash
age = 35
print(f"{age} yosh uchun a'zolik darajalari:")
print(f"Yosh: {yosh(age):.3f}")
print(f"O'rta yosh: {orta_yosh(age):.3f}")
print(f"Qari: {qari(age):.3f}")

# Arifmetik amallar
yosh_10 = yosh + 10
print(f"Yosh + 10 = {yosh_10}")

# Defuzzifikatsiya
markaz = yosh.defuzzify(DefuzzificationMethod.CENTROID)
print(f"Yosh fuzzy sonining markazi: {markaz:.2f}")

Batafsil Misollar

Asosiy Operatsiyalar

python

from fuzzytri import FuzzyTriangular, OperationType
import matplotlib.pyplot as plt

# Fuzzy sonlar yaratish
A = FuzzyTriangular(1, 3, 5, "A")
B = FuzzyTriangular(2, 4, 6, "B")

# Birlashma va kesishma
birlashma = A.union(B, OperationType.MAX)
kesishma = A.intersection(B, OperationType.MIN)

# Alfa-kesim
alpha = 0.7
alpha_kesim = A.alpha_cut(alpha)
print(f"Alpha={alpha} kesim: {alpha_kesim}")

# Grafik chizish
A.plot(color='blue', show_core=True)
B.plot(color='red', show_core=True)
plt.show()

Transformatsiyalar

python

from fuzzytri import FuzzyTriangular

# Fuzzy son yaratish
temp = FuzzyTriangular(15, 25, 35, "Harorat")

# Eksponensial transformatsiya
exp_data = temp.fuzzy_exp()

# Sinus transformatsiya  
sin_data = temp.fuzzy_sin()

# Grafik chizish
temp.plot_transformation('exp')
temp.plot_transformation('sin')

Defuzzifikatsiya Usullari

python

from fuzzytri import FuzzyTriangular, DefuzzificationMethod

fuzzy_son = FuzzyTriangular(10, 20, 30, "Namuna")

# Turli defuzzifikatsiya usullari
usullar = [
    DefuzzificationMethod.CENTROID,
    DefuzzificationMethod.BISECTOR,
    DefuzzificationMethod.MEAN_OF_MAXIMUM,
    DefuzzificationMethod.LARGEST_OF_MAXIMUM,
    DefuzzificationMethod.SMALLEST_OF_MAXIMUM
]

for usul in usullar:
    natija = fuzzy_son.defuzzify(usul)
    print(f"{usul.value}: {natija:.2f}")

API Dokumentatsiya

FuzzyTriangular Klassi

Konstruktor

python

FuzzyTriangular(a: float, b: float, c: float, name: str = "Triangular")

• a: Chap chegarasi (support boshi)
• b: Maksimal qiymat (core)
• c: O'ng chegarasi (support oxiri)
• name: Fuzzy son nomi

Asosiy Metodlar

• membership(x: float) -> float: x nuqtadagi a'zolik darajasi
• alpha_cut(alpha: float) -> Tuple[float, float]: Alfa-kesim oraliq
• defuzzify(method: DefuzzificationMethod) -> float: Defuzzifikatsiya
• plot(**kwargs) -> plt.Axes: Grafik chizish
• union(other, method) -> Callable: Birlashma amali
• intersection(other, method) -> Callable: Kesishma amali
• complement() -> Callable: Komplement amali

Xususiyatlar

• support: A'zolik > 0 bo'lgan oraliq
• core: A'zolik = 1 bo'lgan oraliq
• height: Maksimal a'zolik darajasi
• area: Fuzzy to'plam yuzasi
• centroid: Markaz nuqtasi

Loyihani Ishga Tushirish

bash

# Kutubxonani o'rnatish
pip install -e .

# Testlarni ishga tushirish
pytest

# Misollarni ishga tushirish
python examples/basic_usage.py
python examples/advanced_operations.py
python examples/visualization_demo.py

Misollar Katalogi

examples/ katalogida quyidagi misol fayllari mavjud:

• basic_usage.py: Asosiy foydalanish misollari
• advanced_operations.py: Murakkab amallar misollari
• visualization_demo.py: Vizualizatsiya misollari
• defuzzification_comparison.py: Defuzzifikatsiya usullari taqqoslashi

Rivojatlash

bash

# Repository ni klonlash
git clone https://github.com/username/fuzzytri.git
cd fuzzytri

# Virtual muhit yaratish
python -m venv venv
source venv/bin/activate  # Linux/Mac
# yoki
venv\Scripts\activate  # Windows

# Zarur kutubxonalarni o'rnatish
pip install -r requirements.txt

# Testlarni yuritish
pytest tests/

Litsenziya

MIT Litsenziyasi

Aloqa

Savollar va takliflar uchun:

• GitHub Issues: https://github.com/asilbek3450/fuzzytri/issues
• Email: [e-mail]

Qo'shimcha Ma'lumotlar

• Noravshan Mantiq Nazariyasi
• Uchburchak Fuzzy Sonlar
• Python Ilmiy Hisoblash

---

Eslatma : Bu kutubxona hali rivojlanish jarayonida. Xatoliklar va takliflarni GitHub orqali bildirishingiz mumkin.

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## Asosiy o'zgarishlar:
1. **Kod bloklari** to'g'ri formatda
2. **List itemlar** `-` bilan (yoki `*` bilan) 
3. **Boshqa hamma narsa** bir xil saqlangan

Endi README.md to'g'ri ishlaydi va GitHub'da yaxshi ko'rinadi! 🚀