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   "source": [
    "<p style=\"margin: 15px;\">\n",
    "\n",
    "\n",
    "<ul>\n",
    "<li>Выбрать входные и выходные переменные.</li>\n",
    "<li>Выполнить настройку параметров лингвистических переменных: определить\n",
    "количество термов, типов и параметров функций принадлежности</li>\n",
    "<li>Сформировать базу нечетких правил.</li>\n",
    "<li>Выполнить оценку качества полученной нечеткой системы</li>\n",
    "</ul>\n",
    "</p>\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import skfuzzy.control as control\n",
    "import skfuzzy as fuzzy\n",
    "import numpy as np\n",
    "\n",
    "\n",
    "# считаем данные и поределим входные и выходные переменные\n",
    "data = pd.read_csv(\"./csv/option4.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<p style=\"margin: 15px;\">\n",
    "Так как мы предсказываем инсульт, то входными переменными будут самые, пожалуй, важные критерии - возраст, уровень сахара в крови, ИМТ, гипертония (ее наличие/отсутствие) и сердечный приступ (тоже его наличие/отсутствие)<br><br>а вот ВЫходной переменной будет, естесственно, сам инсульт (наличие/отсутствие)\n",
    "</p>\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "age = control.Antecedent(np.arange(0, 101, 1), 'age') # возраст от 0 до 100 с шагом 1 год и т.д.\n",
    "glucose = control.Antecedent(np.arange(50, 301, 1), 'glucose')\n",
    "bmi = control.Antecedent(np.arange(10, 50, 0.1), 'bmi')\n",
    "hypertension = control.Antecedent(np.arange(0, 2, 1), 'hypertension')\n",
    "heart_disease = control.Antecedent(np.arange(0, 2, 1), 'heart_disease')\n",
    "\n",
    "# а теперь выходная переменная (Consequent)\n",
    "stroke_risk = control.Consequent(np.arange(0, 1.1, 0.1), 'stroke_risk')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<p style=\"margin: 15px; text-align: center;\">\n",
    "НАКОНЕЦ Я УСТАНОВИЛА ВСЕ ПАКЕТЫ етить его\n",
    "</p>\n",
    "\n",
    "<p style=\"margin: 15px;\">\n",
    "теперь самое время определить нечеткие переменные, которые сложатся... в лингвистические\n",
    "</p>\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "ename": "ImportError",
     "evalue": "`FuzzyVariableVisualizer` can only be used with `matplotlib` present in the system.",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mImportError\u001b[0m                               Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[19], line 8\u001b[0m\n\u001b[0;32m      6\u001b[0m age[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mold\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m fuzzy\u001b[38;5;241m.\u001b[39mtrimf(age\u001b[38;5;241m.\u001b[39muniverse, [\u001b[38;5;241m45\u001b[39m, \u001b[38;5;241m60\u001b[39m, \u001b[38;5;241m75\u001b[39m])\n\u001b[0;32m      7\u001b[0m age[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124maged\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m fuzzy\u001b[38;5;241m.\u001b[39mtrimf(age\u001b[38;5;241m.\u001b[39muniverse, [\u001b[38;5;241m70\u001b[39m, \u001b[38;5;241m90\u001b[39m, \u001b[38;5;241m100\u001b[39m])\n\u001b[1;32m----> 8\u001b[0m \u001b[43mage\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mview\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m      9\u001b[0m plt\u001b[38;5;241m.\u001b[39mshow()\n\u001b[0;32m     11\u001b[0m \u001b[38;5;66;03m# сахар\u001b[39;00m\n\u001b[0;32m     12\u001b[0m \u001b[38;5;66;03m# ИМТ\u001b[39;00m\n\u001b[0;32m     13\u001b[0m \u001b[38;5;66;03m# гипертония\u001b[39;00m\n\u001b[0;32m     14\u001b[0m \u001b[38;5;66;03m# пердечный сриступ\u001b[39;00m\n",
      "File \u001b[1;32md:\\code\\mai\\labs\\AIM-PIbd-31-Bakalskaya-E-D\\lab_7\\.venv\\Lib\\site-packages\\skfuzzy\\control\\fuzzyvariable.py:124\u001b[0m, in \u001b[0;36mFuzzyVariable.view\u001b[1;34m(self, *args, **kwargs)\u001b[0m\n\u001b[0;32m    122\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21mview\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[0;32m    123\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"\"\"\"\u001b[39;00m \u001b[38;5;241m+\u001b[39m FuzzyVariableVisualizer\u001b[38;5;241m.\u001b[39mview\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__doc__\u001b[39m\n\u001b[1;32m--> 124\u001b[0m     fig, ax \u001b[38;5;241m=\u001b[39m \u001b[43mFuzzyVariableVisualizer\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m)\u001b[49m\u001b[38;5;241m.\u001b[39mview(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[0;32m    125\u001b[0m     fig\u001b[38;5;241m.\u001b[39mshow()\n",
      "File \u001b[1;32md:\\code\\mai\\labs\\AIM-PIbd-31-Bakalskaya-E-D\\lab_7\\.venv\\Lib\\site-packages\\skfuzzy\\control\\visualization.py:40\u001b[0m, in \u001b[0;36mFuzzyVariableVisualizer.__init__\u001b[1;34m(self, fuzzy_var)\u001b[0m\n\u001b[0;32m     32\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m     33\u001b[0m \u001b[38;5;124;03mInitialize the fuzzy variable plot.\u001b[39;00m\n\u001b[0;32m     34\u001b[0m \n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m     37\u001b[0m \u001b[38;5;124;03mfuzzy_var : FuzzyVariable or Term to plot\u001b[39;00m\n\u001b[0;32m     38\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m     39\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m matplotlib_present:\n\u001b[1;32m---> 40\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mImportError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m`FuzzyVariableVisualizer` can only be used \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m     41\u001b[0m                       \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mwith `matplotlib` present in the system.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m     42\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mfuzzyvariable\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m FuzzyVariable, Term\n\u001b[0;32m     44\u001b[0m \u001b[38;5;66;03m# self.term allows us to know if this is a Term quickly, later\u001b[39;00m\n",
      "\u001b[1;31mImportError\u001b[0m: `FuzzyVariableVisualizer` can only be used with `matplotlib` present in the system."
     ]
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# возраст\n",
    "age['young'] = fuzzy.trimf(age.universe, [0, 20, 30])\n",
    "age['middle'] = fuzzy.trimf(age.universe, [25, 40, 50])\n",
    "age['old'] = fuzzy.trimf(age.universe, [45, 60, 75])\n",
    "age['aged'] = fuzzy.trimf(age.universe, [70, 90, 100])\n",
    "age.view()\n",
    "plt.show()\n",
    "\n",
    "# сахар\n",
    "# ИМТ\n",
    "# гипертония\n",
    "# пердечный сриступ\n",
    "\n",
    "\n"
   ]
  }
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