{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "Датасет \"Предсказание стоимости автомобиля\" Index(['ID', 'Price', 'Levy', 'Manufacturer', 'Model', 'Prod. year',\n", " 'Category', 'Leather interior', 'Fuel type', 'Engine volume', 'Mileage',\n", " 'Cylinders', 'Gear box type', 'Drive wheels', 'Doors', 'Wheel', 'Color',\n", " 'Airbags'],\n", " dtype='object')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Шаг 1: Выбор входных и выходных переменных\n", "Анализ датасета:\n", "\n", "Датасет содержит следующие колонки: ID, Price, Levy, Manufacturer, Model, Prod. year, Category, Leather interior, Fuel type, Engine volume, Mileage, Cylinders, Gear box type, Drive wheels, Doors, Wheel, Color, Airbags.\n", "\n", "Для простоты выберем числовые переменные, которые могут влиять на налог (Levy).\n", "\n", "Выбор переменных:\n", "\n", "Входные переменные:\n", "\n", "Price (Цена автомобиля) — влияет на налог.\n", "\n", "Mileage (Пробег автомобиля) — также может влиять на налог.\n", "\n", "Выходная переменная:\n", "\n", "Levy (Налог на автомобиль) — целевая переменная, которую будем прогнозировать.\n", "\n", "Шаг 2: Настройка параметров лингвистических переменных\n", "Определение диапазонов значений:\n", "\n", "Для каждой переменной (Price, Mileage, Levy) зададим диапазон значений на основе данных из датасета.\n", "\n", "Определение термов и функций принадлежности:\n", "\n", "Для каждой переменной создадим несколько термов (например, \"Низкий\", \"Средний\", \"Высокий\").\n", "\n", "Используем треугольные функции принадлежности (trimf) для простоты.\n", "\n", "Пример для переменной Price:\n", "\n", "Термы: \"Низкая\", \"Средняя\", \"Высокая\".\n", "\n", "Параметры функций принадлежности:\n", "\n", "Низкая: (0, 5000, 10000)\n", "\n", "Средняя: (8000, 15000, 20000)\n", "\n", "Высокая: (18000, 25000, 30000)\n", "\n", "Пример для переменной Mileage:\n", "\n", "Термы: \"Низкий\", \"Средний\", \"Высокий\".\n", "\n", "Параметры функций принадлежности:\n", "\n", "Низкий: (0, 50000, 100000)\n", "\n", "Средний: (80000, 150000, 200000)\n", "\n", "Высокий: (180000, 250000, 300000)\n", "\n", "Пример для переменной Levy:\n", "\n", "Термы: \"Низкий\", \"Средний\", \"Высокий\".\n", "\n", "Параметры функций принадлежности:\n", "\n", "Низкий: (0, 500, 1000)\n", "\n", "Средний: (800, 1500, 2000)\n", "\n", "Высокий: (1800, 2500, 3000)\n", "\n", "Визуализация функций принадлежности:\n", "\n", "Используем matplotlib для построения графиков функций принадлежности." ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import numpy as np\n", "import skfuzzy as fuzz\n", "import matplotlib.pyplot as plt\n", "\n", "# Определение диапазонов значений\n", "x_price = np.linspace(0, 30000, 100)\n", "x_mileage = np.linspace(0, 300000, 100)\n", "x_levy = np.linspace(0, 3000, 100)\n", "\n", "# Функции принадлежности для Price\n", "price_low = fuzz.trapmf(x_price, [0, 0, 5000, 10000]) # Трапециевидная слева\n", "price_medium = fuzz.trimf(x_price, [8000, 15000, 20000]) # Треугольная\n", "price_high = fuzz.smf(x_price, 17000, 28000) # S-образная функция: 0 до 20000, затем рост\n", "\n", "# Функции принадлежности для Mileage\n", "mileage_low = fuzz.trapmf(x_mileage, [0, 0, 50000, 100000]) # Трапециевидная слева\n", "mileage_medium = fuzz.trimf(x_mileage, [80000, 150000, 200000]) # Треугольная\n", "mileage_high = fuzz.smf(x_mileage, 170000, 280000) # S-образная функция: 0 до 200000, затем рост\n", "\n", "# Функции принадлежности для Levy\n", "levy_low = fuzz.trapmf(x_levy, [0, 0, 500, 1000]) # Трапециевидная слева\n", "levy_medium = fuzz.trimf(x_levy, [800, 1500, 2000]) # Треугольная\n", "levy_high = fuzz.smf(x_levy, 1700, 2800) # S-образная функция: 0 до 2000, затем рост\n", "\n", "# Визуализация функций принадлежности\n", "fig, (ax0, ax1, ax2) = plt.subplots(nrows=3, figsize=(8, 9))\n", "\n", "ax0.plot(x_price, price_low, 'b', linewidth=1.5, label='Низкая')\n", "ax0.plot(x_price, price_medium, 'g', linewidth=1.5, label='Средняя')\n", "ax0.plot(x_price, price_high, 'r', linewidth=1.5, label='Высокая')\n", "ax0.set_title('Функции принадлежности для Price')\n", "ax0.legend()\n", "\n", "ax1.plot(x_mileage, mileage_low, 'b', linewidth=1.5, label='Низкий')\n", "ax1.plot(x_mileage, mileage_medium, 'g', linewidth=1.5, label='Средний')\n", "ax1.plot(x_mileage, mileage_high, 'r', linewidth=1.5, label='Высокий')\n", "ax1.set_title('Функции принадлежности для Mileage')\n", "ax1.legend()\n", "\n", "ax2.plot(x_levy, levy_low, 'b', linewidth=1.5, label='Низкий')\n", "ax2.plot(x_levy, levy_medium, 'g', linewidth=1.5, label='Средний')\n", "ax2.plot(x_levy, levy_high, 'r', linewidth=1.5, label='Высокий')\n", "ax2.set_title('Функции принадлежности для Levy')\n", "ax2.legend()\n", "\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Шаг 3: Формирование базы нечетких правил\n", "Создание правил:\n", "\n", "Правила связывают входные переменные (Price, Mileage) с выходной переменной (Levy).\n", "\n", "Пример правил:\n", "\n", "Если Price Низкая и Mileage Низкий, тогда Levy Низкий.\n", "\n", "Если Price Средняя и Mileage Средний, тогда Levy Средний.\n", "\n", "Если Price Высокая и Mileage Высокий, тогда Levy Высокий.\n", "\n", "Если Price Низкая и Mileage Высокий, тогда Levy Средний.\n", "\n", "Если Price Высокая и Mileage Низкий, тогда Levy Средний.\n", "\n", "Реализация правил в коде:\n", "\n", "Используем функции библиотеки skfuzzy для применения правил.\n", "\n", "Шаг 4: Оценка качества полученной нечеткой системы\n", "Создание тестовых данных:\n", "\n", "Подготовим несколько тестовых примеров с известными значениями Price, Mileage и Levy.\n", "\n", "Применение нечеткой системы:\n", "\n", "Для каждого тестового примера вычислим прогнозируемое значение Levy с помощью нечеткой системы.\n", "\n", "Вычисление метрик качества:\n", "\n", "Используем метрики:\n", "\n", "Средняя абсолютная ошибка (MAE): Среднее значение абсолютных разностей между фактическими и прогнозируемыми значениями.\n", "\n", "Среднеквадратичная ошибка (RMSE): Корень из среднего значения квадратов разностей." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "Результаты оценки:\n", "Price | Mileage | Actual Levy | Inferred Levy\n", " 7000 | 60000 | 800 | 500.00\n", "12000 | 140000 | 1500 | 1424.50\n", "22000 | 240000 | 2500 | 2424.50\n", " 9000 | 220000 | 1200 | 1408.78\n", "\n", "Средняя абсолютная ошибка (MAE): 164.94\n", "Среднеквадратичная ошибка (RMSE): 190.39\n" ] } ], "source": [ "# Функция для нечеткого вывода\n", "def fuzzy_inference(price, mileage):\n", " # Определение степени принадлежности\n", " price_low_val = fuzz.interp_membership(x_price, price_low, price)\n", " price_medium_val = fuzz.interp_membership(x_price, price_medium, price)\n", " price_high_val = fuzz.interp_membership(x_price, price_high, price)\n", "\n", " mileage_low_val = fuzz.interp_membership(x_mileage, mileage_low, mileage)\n", " mileage_medium_val = fuzz.interp_membership(x_mileage, mileage_medium, mileage)\n", " mileage_high_val = fuzz.interp_membership(x_mileage, mileage_high, mileage)\n", "\n", " # Применение правил\n", " rule1 = np.fmin(price_low_val, mileage_low_val)\n", " rule2 = np.fmin(price_medium_val, mileage_medium_val)\n", " rule3 = np.fmin(price_high_val, mileage_high_val)\n", " rule4 = np.fmin(price_low_val, mileage_high_val)\n", " rule5 = np.fmin(price_high_val, mileage_low_val)\n", "\n", " # Агрегация правил\n", " levy_low_agg = np.fmin(rule1, levy_low)\n", " levy_medium_agg = np.fmax(np.fmin(rule2, levy_medium), np.fmin(rule4, levy_medium), np.fmin(rule5, levy_medium))\n", " levy_high_agg = np.fmin(rule3, levy_high)\n", "\n", " # Объединение агрегированных функций\n", " aggregated = np.fmax(levy_low_agg, np.fmax(levy_medium_agg, levy_high_agg))\n", "\n", " # Проверка, что aggregated не пустой\n", " if np.sum(aggregated) == 0:\n", " raise ValueError(\"Агрегированная функция принадлежности пуста. Проверьте входные данные и правила.\")\n", "\n", " # Дефуззификация\n", " levy_defuzz = fuzz.defuzz(x_levy, aggregated, 'centroid')\n", " return levy_defuzz\n", "\n", "# Тестовые данные\n", "test_data = [\n", " (7000, 60000, 800),\n", " (12000, 140000, 1500),\n", " (22000, 240000, 2500),\n", " (9000, 220000, 1200)\n", "]\n", "\n", "# Оценка системы\n", "results = []\n", "for price, mileage, actual_levy in test_data:\n", " try:\n", " inferred_levy = fuzzy_inference(price, mileage)\n", " results.append((price, mileage, actual_levy, inferred_levy))\n", " except ValueError as e:\n", " print(f\"Ошибка для price={price}, mileage={mileage}: {e}\")\n", "\n", "# Вывод результатов\n", "print(\"\\nРезультаты оценки:\")\n", "print(\"Price | Mileage | Actual Levy | Inferred Levy\")\n", "for price, mileage, actual_levy, inferred_levy in results:\n", " print(f\"{price:5} | {mileage:7} | {actual_levy:10} | {inferred_levy:.2f}\")\n", "\n", "# Вычисление метрик качества\n", "if results:\n", " actual_levys = [actual for _, _, actual, _ in results]\n", " inferred_levys = [inferred for _, _, _, inferred in results]\n", "\n", " mae = np.mean(np.abs(np.array(actual_levys) - np.array(inferred_levys)))\n", " rmse = np.sqrt(np.mean((np.array(actual_levys) - np.array(inferred_levys)) ** 2))\n", "\n", " print(f\"\\nСредняя абсолютная ошибка (MAE): {mae:.2f}\")\n", " print(f\"Среднеквадратичная ошибка (RMSE): {rmse:.2f}\")\n", "else:\n", " print(\"Нет результатов для оценки.\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Оценка качества системы\n", "Точность прогноза:\n", "\n", "Для большинства тестовых данных прогнозируемые значения близки к фактическим.\n", "\n", "Например, для price=12000, mileage=140000 прогноз 1424.50 близок к фактическому значению 1500.\n", "\n", "Ошибки:\n", "\n", "Для price=7000, mileage=60000 прогноз 500.00 значительно ниже фактического значения 800.\n", "\n", "Для price=9000, mileage=220000 прогноз 1408.78 немного выше фактического значения 1200.\n", "\n", "Метрики качества:\n", "\n", "MAE (164.94): Средняя абсолютная ошибка показывает, что в среднем прогноз отклоняется от фактического значения на ~165 единиц.\n", "\n", "RMSE (190.39): Среднеквадратичная ошибка указывает на более крупные отклонения в некоторых случаях." ] } ], "metadata": { "kernelspec": { "display_name": ".venv", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.5" } }, "nbformat": 4, "nbformat_minor": 2 }