HW_FuzzyLogic_3_Adaptive_food_suggestion.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyNYaBJN20FS1RusG3btLxv6",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/thanhtruongphan/HomeworkAI/blob/main/HW_FuzzyLogic_3_Adaptive_food_suggestion.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## **Họ và tên sinh viên : Phan Thanh Trường**\n",
        "## **MSSV :                19146293**\n",
        "## **Fuzzy Logic - Adaptive Food Suggestion**"
      ],
      "metadata": {
        "id": "iaP5Lu-ZnWLk"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install scikit-fuzzy\n",
        "\n",
        "import numpy as np \n",
        "import skfuzzy as fuzzy \n",
        "from skfuzzy import control as ctrl"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8NzTod7rndra",
        "outputId": "8a15dc74-89b3-4cfd-b346-d8fd13fe39d2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Requirement already satisfied: scikit-fuzzy in /usr/local/lib/python3.8/dist-packages (0.4.2)\n",
            "Requirement already satisfied: networkx>=1.9.0 in /usr/local/lib/python3.8/dist-packages (from scikit-fuzzy) (3.0)\n",
            "Requirement already satisfied: scipy>=0.9.0 in /usr/local/lib/python3.8/dist-packages (from scikit-fuzzy) (1.10.1)\n",
            "Requirement already satisfied: numpy>=1.6.0 in /usr/local/lib/python3.8/dist-packages (from scikit-fuzzy) (1.22.4)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "taste = ctrl.Antecedent(np.arange(0,10.1,0.1),'Taste')\n",
        "envir = ctrl.Antecedent(np.arange(0,10.1,0.1),'Environment')\n",
        "budget = ctrl.Antecedent(np.arange(0.0,9.1,0.1),'Budget')\n",
        "user = ctrl.Antecedent(np.arange(0.0,5.1,0.1),'User')\n",
        "loc = ctrl.Antecedent(np.arange(0,3.1,0.1),'Location')\n",
        "pref = ctrl.Consequent(np.arange(0,15.1,0.1),'Preference')\n",
        "\n",
        "taste['L'] = fuzzy.gaussmf(taste.universe,0,2)\n",
        "taste['M'] = fuzzy.gaussmf(taste.universe,5,2)\n",
        "taste['H'] = fuzzy.gaussmf(taste.universe,10,2)\n",
        "\n",
        "envir['L'] = fuzzy.gaussmf(envir.universe,0,2)\n",
        "envir['M'] = fuzzy.gaussmf(envir.universe,5,2)\n",
        "envir['H'] = fuzzy.gaussmf(envir.universe,10,2)\n",
        "\n",
        "budget['L'] = fuzzy.gaussmf(budget.universe,0,2)\n",
        "budget['M'] = fuzzy.gaussmf(budget.universe,4.5,2)\n",
        "budget['H'] = fuzzy.gaussmf(budget.universe,9,2)\n",
        "\n",
        "user['VL'] = fuzzy.gaussmf(user.universe,1,0.5)\n",
        "user['L'] = fuzzy.gaussmf(user.universe,2,0.5)\n",
        "user['N'] = fuzzy.gaussmf(user.universe,3,0.5)\n",
        "user['H'] = fuzzy.gaussmf(user.universe,4,0.5)\n",
        "user['VH'] = fuzzy.gaussmf(user.universe,5,0.5)\n",
        "\n",
        "loc['F'] = fuzzy.gaussmf(loc.universe,1,0.5)\n",
        "loc['N'] = fuzzy.gaussmf(loc.universe,2,0.5)\n",
        "loc['C'] = fuzzy.gaussmf(loc.universe,3,0.5)\n",
        "\n",
        "pref['L1'] = fuzzy.gaussmf(pref.universe,3,1.5)\n",
        "pref['L2'] = fuzzy.gaussmf(pref.universe,6,1.5)\n",
        "pref['L3'] = fuzzy.gaussmf(pref.universe,9,1.5)\n",
        "pref['L4'] = fuzzy.gaussmf(pref.universe,12,1.5)\n",
        "pref['L5'] = fuzzy.gaussmf(pref.universe,15,1.5)"
      ],
      "metadata": {
        "id": "-Dh7JOkEnjSH"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "taste.view()\n",
        "envir.view()\n",
        "budget.view()\n",
        "user.view()\n",
        "loc.view()\n",
        "pref.view()"
      ],
      "metadata": {
        "id": "ZUoj_AYPnpi7",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "066ca616-06d5-4915-b92b-ad4fb0e3b9df"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "Rule1 = ctrl.Rule(taste['L']&envir['L']&budget['L']&user['VL']&loc['F'],pref['L1'])\n",
        "Rule2= ctrl.Rule(taste['L']&envir['L']&budget['L']&user['VL']&loc['N'],pref['L1'])\n",
        "Rule3= ctrl.Rule(taste['L']&envir['L']&budget['L']&user['VL']&loc['C'],pref['L1'])\n",
        "\n",
        "Rule4= ctrl.Rule(taste['L']&envir['L']&budget['L']&user['L']&loc['F'],pref['L1'])\n",
        "Rule5= ctrl.Rule(taste['L']&envir['L']&budget['L']&user['L']&loc['N'],pref['L1'])\n",
        "Rule6= ctrl.Rule(taste['L']&envir['L']&budget['L']&user['L']&loc['C'],pref['L1'])\n",
        "\n",
        "Rule7 = ctrl.Rule(taste['L']&envir['L']&budget['L']&user['N']&loc['F'],pref['L1'])\n",
        "Rule8 = ctrl.Rule(taste['L']&envir['L']&budget['L']&user['N']&loc['N'],pref['L1'])\n",
        "Rule9= ctrl.Rule(taste['L']&envir['L']&budget['L']&user['N']&loc['C'],pref['L1'])\n",
        "\n",
        "Rule10= ctrl.Rule(taste['L']&envir['L']&budget['L']&user['H']&loc['F'],pref['L1'])\n",
        "Rule11= ctrl.Rule(taste['L']&envir['L']&budget['L']&user['H']&loc['N'],pref['L1'])\n",
        "Rule12= ctrl.Rule(taste['L']&envir['L']&budget['L']&user['H']&loc['C'],pref['L1'])\n",
        "\n",
        "Rule13 = ctrl.Rule(taste['L']&envir['L']&budget['L']&user['VH']&loc['F'],pref['L1'])\n",
        "Rule14= ctrl.Rule(taste['L']&envir['L']&budget['L']&user['VH']&loc['N'],pref['L1'])\n",
        "Rule15= ctrl.Rule(taste['L']&envir['L']&budget['L']&user['VH']&loc['C'],pref['L1'])\n",
        "\n",
        "####\n",
        "Rule16= ctrl.Rule(taste['L']&envir['L']&budget['M']&user['VL']&loc['F'],pref['L1'])\n",
        "Rule17= ctrl.Rule(taste['L']&envir['L']&budget['M']&user['VL']&loc['N'],pref['L1'])\n",
        "Rule18= ctrl.Rule(taste['L']&envir['L']&budget['M']&user['VL']&loc['C'],pref['L1'])\n",
        "\n",
        "Rule19 = ctrl.Rule(taste['L']&envir['L']&budget['M']&user['L']&loc['F'],pref['L1'])\n",
        "Rule20= ctrl.Rule(taste['L']&envir['L']&budget['M']&user['L']&loc['N'],pref['L1'])\n",
        "Rule21= ctrl.Rule(taste['L']&envir['L']&budget['M']&user['L']&loc['C'],pref['L1'])\n",
        "\n",
        "Rule22= ctrl.Rule(taste['L']&envir['L']&budget['M']&user['N']&loc['F'],pref['L1'])\n",
        "Rule23= ctrl.Rule(taste['L']&envir['L']&budget['M']&user['N']&loc['N'],pref['L1'])\n",
        "Rule24= ctrl.Rule(taste['L']&envir['L']&budget['M']&user['N']&loc['C'],pref['L1'])\n",
        "\n",
        "Rule25= ctrl.Rule(taste['L']&envir['L']&budget['M']&user['H']&loc['F'],pref['L1'])\n",
        "Rule26= ctrl.Rule(taste['L']&envir['L']&budget['M']&user['H']&loc['N'],pref['L1'])\n",
        "Rule27= ctrl.Rule(taste['L']&envir['L']&budget['M']&user['H']&loc['C'],pref['L1'])\n",
        "\n",
        "Rule28= ctrl.Rule(taste['L']&envir['L']&budget['M']&user['VH']&loc['F'],pref['L1'])\n",
        "Rule29= ctrl.Rule(taste['L']&envir['L']&budget['M']&user['VH']&loc['N'],pref['L1'])\n",
        "Rule30= ctrl.Rule(taste['L']&envir['L']&budget['M']&user['VH']&loc['C'],pref['L1'])\n",
        "####\n",
        "\n",
        "Rule31= ctrl.Rule(taste['L']&envir['L']&budget['H']&user['VL']&loc['F'],pref['L1'])\n",
        "Rule32= ctrl.Rule(taste['L']&envir['L']&budget['H']&user['VL']&loc['N'],pref['L1'])\n",
        "Rule33= ctrl.Rule(taste['L']&envir['L']&budget['H']&user['VL']&loc['C'],pref['L1'])\n",
        "\n",
        "Rule34= ctrl.Rule(taste['L']&envir['L']&budget['H']&user['L']&loc['F'],pref['L1'])\n",
        "Rule35= ctrl.Rule(taste['L']&envir['L']&budget['H']&user['L']&loc['N'],pref['L1'])\n",
        "Rule36= ctrl.Rule(taste['L']&envir['L']&budget['H']&user['L']&loc['C'],pref['L1'])\n",
        "\n",
        "Rule37= ctrl.Rule(taste['L']&envir['L']&budget['H']&user['N']&loc['F'],pref['L1'])\n",
        "Rule38= ctrl.Rule(taste['L']&envir['L']&budget['H']&user['N']&loc['N'],pref['L1'])\n",
        "Rule39= ctrl.Rule(taste['L']&envir['L']&budget['H']&user['N']&loc['C'],pref['L1'])\n",
        "\n",
        "Rule40= ctrl.Rule(taste['L']&envir['L']&budget['H']&user['H']&loc['F'],pref['L1'])\n",
        "Rule41= ctrl.Rule(taste['L']&envir['L']&budget['H']&user['H']&loc['N'],pref['L1'])\n",
        "Rule42= ctrl.Rule(taste['L']&envir['L']&budget['H']&user['H']&loc['C'],pref['L1'])\n",
        "\n",
        "Rule43= ctrl.Rule(taste['L']&envir['L']&budget['H']&user['VH']&loc['F'],pref['L1'])\n",
        "Rule44= ctrl.Rule(taste['L']&envir['L']&budget['H']&user['VH']&loc['N'],pref['L1'])\n",
        "Rule45= ctrl.Rule(taste['L']&envir['L']&budget['H']&user['VH']&loc['C'],pref['L1'])\n",
        "#####(45)\n",
        "\n",
        "Rule46 = ctrl.Rule(taste['L']&envir['M']&budget['L']&user['VL']&loc['F'],pref['L1'])\n",
        "Rule47= ctrl.Rule(taste['L']&envir['M']&budget['L']&user['VL']&loc['N'],pref['L1'])\n",
        "Rule48= ctrl.Rule(taste['L']&envir['M']&budget['L']&user['VL']&loc['C'],pref['L1'])\n",
        "\n",
        "Rule49= ctrl.Rule(taste['L']&envir['M']&budget['L']&user['L']&loc['F'],pref['L1'])\n",
        "Rule50= ctrl.Rule(taste['L']&envir['M']&budget['L']&user['L']&loc['N'],pref['L1'])\n",
        "Rule51= ctrl.Rule(taste['L']&envir['M']&budget['L']&user['L']&loc['C'],pref['L1'])\n",
        "\n",
        "Rule52= ctrl.Rule(taste['L']&envir['M']&budget['L']&user['N']&loc['F'],pref['L1'])\n",
        "Rule53= ctrl.Rule(taste['L']&envir['M']&budget['L']&user['N']&loc['N'],pref['L1'])\n",
        "Rule54= ctrl.Rule(taste['L']&envir['M']&budget['L']&user['N']&loc['C'],pref['L1'])\n",
        "\n",
        "Rule55= ctrl.Rule(taste['L']&envir['M']&budget['L']&user['H']&loc['F'],pref['L1'])\n",
        "Rule56= ctrl.Rule(taste['L']&envir['M']&budget['L']&user['H']&loc['N'],pref['L1'])\n",
        "Rule57= ctrl.Rule(taste['L']&envir['M']&budget['L']&user['H']&loc['C'],pref['L1'])\n",
        "\n",
        "Rule58= ctrl.Rule(taste['L']&envir['M']&budget['L']&user['VH']&loc['F'],pref['L1'])\n",
        "Rule59 = ctrl.Rule(taste['L']&envir['M']&budget['L']&user['VH']&loc['N'],pref['L1'])\n",
        "Rule60= ctrl.Rule(taste['L']&envir['M']&budget['L']&user['VH']&loc['C'],pref['L1'])\n",
        "\n",
        "####\n",
        "Rule61 = ctrl.Rule(taste['L']&envir['M']&budget['M']&user['VL']&loc['F'],pref['L1'])\n",
        "Rule62 = ctrl.Rule(taste['L']&envir['M']&budget['M']&user['VL']&loc['N'],pref['L1'])\n",
        "Rule63= ctrl.Rule(taste['L']&envir['M']&budget['M']&user['VL']&loc['C'],pref['L1'])\n",
        "\n",
        "Rule64= ctrl.Rule(taste['L']&envir['M']&budget['M']&user['L']&loc['F'],pref['L1'])\n",
        "Rule65= ctrl.Rule(taste['L']&envir['M']&budget['M']&user['L']&loc['N'],pref['L1'])\n",
        "Rule66= ctrl.Rule(taste['L']&envir['M']&budget['M']&user['L']&loc['C'],pref['L1'])\n",
        "\n",
        "Rule67= ctrl.Rule(taste['L']&envir['M']&budget['M']&user['N']&loc['F'],pref['L1'])\n",
        "Rule68= ctrl.Rule(taste['L']&envir['M']&budget['M']&user['N']&loc['N'],pref['L1'])\n",
        "Rule69= ctrl.Rule(taste['L']&envir['M']&budget['M']&user['N']&loc['C'],pref['L1'])\n",
        "\n",
        "Rule70= ctrl.Rule(taste['L']&envir['M']&budget['M']&user['H']&loc['F'],pref['L1'])\n",
        "Rule71= ctrl.Rule(taste['L']&envir['M']&budget['M']&user['H']&loc['N'],pref['L1'])\n",
        "Rule72= ctrl.Rule(taste['L']&envir['M']&budget['M']&user['H']&loc['C'],pref['L1'])\n",
        "\n",
        "Rule73= ctrl.Rule(taste['L']&envir['M']&budget['M']&user['VH']&loc['F'],pref['L1'])\n",
        "Rule74= ctrl.Rule(taste['L']&envir['M']&budget['M']&user['VH']&loc['N'],pref['L1'])\n",
        "Rule75= ctrl.Rule(taste['L']&envir['M']&budget['M']&user['VH']&loc['C'],pref['L1'])\n",
        "####\n",
        "\n",
        "Rule76= ctrl.Rule(taste['L']&envir['M']&budget['H']&user['VL']&loc['F'],pref['L1'])\n",
        "Rule77= ctrl.Rule(taste['L']&envir['M']&budget['H']&user['VL']&loc['N'],pref['L1'])\n",
        "Rule78= ctrl.Rule(taste['L']&envir['M']&budget['H']&user['VL']&loc['C'],pref['L1'])\n",
        "\n",
        "Rule79= ctrl.Rule(taste['L']&envir['M']&budget['H']&user['L']&loc['F'],pref['L1'])\n",
        "Rule80= ctrl.Rule(taste['L']&envir['M']&budget['H']&user['L']&loc['N'],pref['L1'])\n",
        "Rule81= ctrl.Rule(taste['L']&envir['M']&budget['H']&user['L']&loc['C'],pref['L1'])\n",
        "\n",
        "Rule82= ctrl.Rule(taste['L']&envir['M']&budget['H']&user['N']&loc['F'],pref['L1'])\n",
        "Rule83= ctrl.Rule(taste['L']&envir['M']&budget['H']&user['N']&loc['N'],pref['L1'])\n",
        "Rule84= ctrl.Rule(taste['L']&envir['M']&budget['H']&user['N']&loc['C'],pref['L1'])\n",
        "\n",
        "Rule85= ctrl.Rule(taste['L']&envir['M']&budget['H']&user['H']&loc['F'],pref['L1'])\n",
        "Rule86= ctrl.Rule(taste['L']&envir['M']&budget['H']&user['H']&loc['N'],pref['L1'])\n",
        "Rule87= ctrl.Rule(taste['L']&envir['M']&budget['H']&user['H']&loc['C'],pref['L1'])\n",
        "\n",
        "Rule88= ctrl.Rule(taste['L']&envir['M']&budget['H']&user['VH']&loc['F'],pref['L1'])\n",
        "Rule89= ctrl.Rule(taste['L']&envir['M']&budget['H']&user['VH']&loc['N'],pref['L1'])\n",
        "Rule90= ctrl.Rule(taste['L']&envir['M']&budget['H']&user['VH']&loc['C'],pref['L1'])\n",
        "#####(90)\n",
        "\n",
        "Rule91= ctrl.Rule(taste['L']&envir['H']&budget['L']&user['VL']&loc['F'],pref['L2'])\n",
        "Rule92= ctrl.Rule(taste['L']&envir['H']&budget['L']&user['VL']&loc['N'],pref['L2'])\n",
        "Rule93= ctrl.Rule(taste['L']&envir['H']&budget['L']&user['VL']&loc['C'],pref['L2'])\n",
        "\n",
        "Rule94= ctrl.Rule(taste['L']&envir['H']&budget['L']&user['L']&loc['F'],pref['L2'])\n",
        "Rule95= ctrl.Rule(taste['L']&envir['H']&budget['L']&user['L']&loc['N'],pref['L2'])\n",
        "Rule96 = ctrl.Rule(taste['L']&envir['H']&budget['L']&user['L']&loc['C'],pref['L2'])\n",
        "\n",
        "Rule97= ctrl.Rule(taste['L']&envir['H']&budget['L']&user['N']&loc['F'],pref['L2'])\n",
        "Rule98= ctrl.Rule(taste['L']&envir['H']&budget['L']&user['N']&loc['N'],pref['L2'])\n",
        "Rule99= ctrl.Rule(taste['L']&envir['H']&budget['L']&user['N']&loc['C'],pref['L2'])\n",
        "\n",
        "Rule100= ctrl.Rule(taste['L']&envir['H']&budget['L']&user['H']&loc['F'],pref['L2'])\n",
        "Rule101= ctrl.Rule(taste['L']&envir['H']&budget['L']&user['H']&loc['N'],pref['L2'])\n",
        "Rule102= ctrl.Rule(taste['L']&envir['H']&budget['L']&user['H']&loc['C'],pref['L2'])\n",
        "\n",
        "Rule103= ctrl.Rule(taste['L']&envir['H']&budget['L']&user['VH']&loc['F'],pref['L2'])\n",
        "Rule104= ctrl.Rule(taste['L']&envir['H']&budget['L']&user['VH']&loc['N'],pref['L2'])\n",
        "Rule105= ctrl.Rule(taste['L']&envir['H']&budget['L']&user['VH']&loc['C'],pref['L2'])\n",
        "\n",
        "####\n",
        "Rule106= ctrl.Rule(taste['L']&envir['H']&budget['M']&user['VL']&loc['F'],pref['L2'])\n",
        "Rule107= ctrl.Rule(taste['L']&envir['H']&budget['M']&user['VL']&loc['N'],pref['L2'])\n",
        "Rule108= ctrl.Rule(taste['L']&envir['H']&budget['M']&user['VL']&loc['C'],pref['L2'])\n",
        "\n",
        "Rule109 = ctrl.Rule(taste['L']&envir['H']&budget['M']&user['L']&loc['F'],pref['L2'])\n",
        "Rule110= ctrl.Rule(taste['L']&envir['H']&budget['M']&user['L']&loc['N'],pref['L2'])\n",
        "Rule111= ctrl.Rule(taste['L']&envir['H']&budget['M']&user['L']&loc['C'],pref['L2'])\n",
        "\n",
        "Rule112= ctrl.Rule(taste['L']&envir['H']&budget['M']&user['N']&loc['F'],pref['L2'])\n",
        "Rule113= ctrl.Rule(taste['L']&envir['H']&budget['M']&user['N']&loc['N'],pref['L2'])\n",
        "Rule114= ctrl.Rule(taste['L']&envir['H']&budget['M']&user['N']&loc['C'],pref['L2'])\n",
        "\n",
        "Rule115= ctrl.Rule(taste['L']&envir['H']&budget['M']&user['H']&loc['F'],pref['L2'])\n",
        "Rule116= ctrl.Rule(taste['L']&envir['H']&budget['M']&user['H']&loc['N'],pref['L2'])\n",
        "Rule117= ctrl.Rule(taste['L']&envir['H']&budget['M']&user['H']&loc['C'],pref['L2'])\n",
        "\n",
        "Rule118= ctrl.Rule(taste['L']&envir['H']&budget['M']&user['VH']&loc['F'],pref['L2'])\n",
        "Rule119= ctrl.Rule(taste['L']&envir['H']&budget['M']&user['VH']&loc['N'],pref['L2'])\n",
        "Rule120= ctrl.Rule(taste['L']&envir['H']&budget['M']&user['VH']&loc['C'],pref['L2'])\n",
        "####\n",
        "\n",
        "Rule121= ctrl.Rule(taste['L']&envir['H']&budget['H']&user['VL']&loc['F'],pref['L2'])\n",
        "Rule122= ctrl.Rule(taste['L']&envir['H']&budget['H']&user['VL']&loc['N'],pref['L2'])\n",
        "Rule123= ctrl.Rule(taste['L']&envir['H']&budget['H']&user['VL']&loc['C'],pref['L2'])\n",
        "\n",
        "Rule124= ctrl.Rule(taste['L']&envir['H']&budget['H']&user['L']&loc['F'],pref['L2'])\n",
        "Rule125= ctrl.Rule(taste['L']&envir['H']&budget['H']&user['L']&loc['N'],pref['L2'])\n",
        "Rule126= ctrl.Rule(taste['L']&envir['H']&budget['H']&user['L']&loc['C'],pref['L2'])\n",
        "\n",
        "Rule127= ctrl.Rule(taste['L']&envir['H']&budget['H']&user['N']&loc['F'],pref['L2'])\n",
        "Rule128= ctrl.Rule(taste['L']&envir['H']&budget['H']&user['N']&loc['N'],pref['L2'])\n",
        "Rule129= ctrl.Rule(taste['L']&envir['H']&budget['H']&user['N']&loc['C'],pref['L2'])\n",
        "\n",
        "Rule130= ctrl.Rule(taste['L']&envir['H']&budget['H']&user['H']&loc['F'],pref['L2'])\n",
        "Rule131= ctrl.Rule(taste['L']&envir['H']&budget['H']&user['H']&loc['N'],pref['L2'])\n",
        "Rule132= ctrl.Rule(taste['L']&envir['H']&budget['H']&user['H']&loc['C'],pref['L2'])\n",
        "\n",
        "Rule133= ctrl.Rule(taste['L']&envir['H']&budget['H']&user['VH']&loc['F'],pref['L2'])\n",
        "Rule134= ctrl.Rule(taste['L']&envir['H']&budget['H']&user['VH']&loc['N'],pref['L2'])\n",
        "Rule135= ctrl.Rule(taste['L']&envir['H']&budget['H']&user['VH']&loc['C'],pref['L2'])\n",
        "####(135)\n",
        "\n",
        "######\n",
        "Rule136 = ctrl.Rule(taste['M']&envir['L']&budget['L']&user['VL']&loc['F'],pref['L2'])\n",
        "Rule137= ctrl.Rule(taste['M']&envir['L']&budget['L']&user['VL']&loc['N'],pref['L2'])\n",
        "Rule138= ctrl.Rule(taste['M']&envir['L']&budget['L']&user['VL']&loc['C'],pref['L2'])\n",
        "\n",
        "Rule139 = ctrl.Rule(taste['M']&envir['L']&budget['L']&user['L']&loc['F'],pref['L2'])\n",
        "Rule140= ctrl.Rule(taste['M']&envir['L']&budget['L']&user['L']&loc['N'],pref['L2'])\n",
        "Rule141= ctrl.Rule(taste['M']&envir['L']&budget['L']&user['L']&loc['C'],pref['L2'])\n",
        "\n",
        "Rule142= ctrl.Rule(taste['M']&envir['L']&budget['L']&user['N']&loc['F'],pref['L2'])\n",
        "Rule143= ctrl.Rule(taste['M']&envir['L']&budget['L']&user['N']&loc['N'],pref['L2'])\n",
        "Rule144= ctrl.Rule(taste['M']&envir['L']&budget['L']&user['N']&loc['C'],pref['L2'])\n",
        "\n",
        "Rule145= ctrl.Rule(taste['M']&envir['L']&budget['L']&user['H']&loc['F'],pref['L2'])\n",
        "Rule146= ctrl.Rule(taste['M']&envir['L']&budget['L']&user['H']&loc['N'],pref['L2'])\n",
        "Rule147= ctrl.Rule(taste['M']&envir['L']&budget['L']&user['H']&loc['C'],pref['L2'])\n",
        "\n",
        "Rule148= ctrl.Rule(taste['M']&envir['L']&budget['L']&user['VH']&loc['F'],pref['L2'])\n",
        "Rule149= ctrl.Rule(taste['M']&envir['L']&budget['L']&user['VH']&loc['N'],pref['L2'])\n",
        "Rule150= ctrl.Rule(taste['M']&envir['L']&budget['L']&user['VH']&loc['C'],pref['L2'])\n",
        "\n",
        "####\n",
        "Rule151 = ctrl.Rule(taste['M']&envir['L']&budget['M']&user['VL']&loc['F'],pref['L2'])\n",
        "Rule152= ctrl.Rule(taste['M']&envir['L']&budget['M']&user['VL']&loc['N'],pref['L2'])\n",
        "Rule153= ctrl.Rule(taste['M']&envir['L']&budget['M']&user['VL']&loc['C'],pref['L2'])\n",
        "\n",
        "Rule154= ctrl.Rule(taste['M']&envir['L']&budget['M']&user['L']&loc['F'],pref['L2'])\n",
        "Rule155= ctrl.Rule(taste['M']&envir['L']&budget['M']&user['L']&loc['N'],pref['L2'])\n",
        "Rule156= ctrl.Rule(taste['M']&envir['L']&budget['M']&user['L']&loc['C'],pref['L2'])\n",
        "\n",
        "Rule157= ctrl.Rule(taste['M']&envir['L']&budget['M']&user['N']&loc['F'],pref['L2'])\n",
        "Rule158= ctrl.Rule(taste['M']&envir['L']&budget['M']&user['N']&loc['N'],pref['L2'])\n",
        "Rule159= ctrl.Rule(taste['M']&envir['L']&budget['M']&user['N']&loc['C'],pref['L2'])\n",
        "\n",
        "Rule160= ctrl.Rule(taste['M']&envir['L']&budget['M']&user['H']&loc['F'],pref['L2'])\n",
        "Rule161= ctrl.Rule(taste['M']&envir['L']&budget['M']&user['H']&loc['N'],pref['L2'])\n",
        "Rule162= ctrl.Rule(taste['M']&envir['L']&budget['M']&user['H']&loc['C'],pref['L2'])\n",
        "\n",
        "Rule163= ctrl.Rule(taste['M']&envir['L']&budget['M']&user['VH']&loc['F'],pref['L2'])\n",
        "Rule164= ctrl.Rule(taste['M']&envir['L']&budget['M']&user['VH']&loc['N'],pref['L2'])\n",
        "Rule165 = ctrl.Rule(taste['M']&envir['L']&budget['M']&user['VH']&loc['C'],pref['L2'])\n",
        "####\n",
        "\n",
        "Rule166= ctrl.Rule(taste['M']&envir['L']&budget['H']&user['VL']&loc['F'],pref['L2'])\n",
        "Rule167 = ctrl.Rule(taste['M']&envir['L']&budget['H']&user['VL']&loc['N'],pref['L2'])\n",
        "Rule168= ctrl.Rule(taste['M']&envir['L']&budget['H']&user['VL']&loc['C'],pref['L2'])\n",
        "\n",
        "Rule169= ctrl.Rule(taste['M']&envir['L']&budget['H']&user['L']&loc['F'],pref['L2'])\n",
        "Rule170= ctrl.Rule(taste['M']&envir['L']&budget['H']&user['L']&loc['N'],pref['L2'])\n",
        "Rule171= ctrl.Rule(taste['M']&envir['L']&budget['H']&user['L']&loc['C'],pref['L2'])\n",
        "\n",
        "Rule172= ctrl.Rule(taste['M']&envir['L']&budget['H']&user['N']&loc['F'],pref['L2'])\n",
        "Rule173= ctrl.Rule(taste['M']&envir['L']&budget['H']&user['N']&loc['N'],pref['L2'])\n",
        "Rule174= ctrl.Rule(taste['M']&envir['L']&budget['H']&user['N']&loc['C'],pref['L2'])\n",
        "\n",
        "Rule175= ctrl.Rule(taste['M']&envir['L']&budget['H']&user['H']&loc['F'],pref['L2'])\n",
        "Rule176= ctrl.Rule(taste['M']&envir['L']&budget['H']&user['H']&loc['N'],pref['L2'])\n",
        "Rule177= ctrl.Rule(taste['M']&envir['L']&budget['H']&user['H']&loc['C'],pref['L2'])\n",
        "\n",
        "Rule178 = ctrl.Rule(taste['M']&envir['L']&budget['H']&user['VH']&loc['F'],pref['L2'])\n",
        "Rule179= ctrl.Rule(taste['M']&envir['L']&budget['H']&user['VH']&loc['N'],pref['L2'])\n",
        "Rule180= ctrl.Rule(taste['M']&envir['L']&budget['H']&user['VH']&loc['C'],pref['L2'])\n",
        "#####180\n",
        "\n",
        "Rule181= ctrl.Rule(taste['M']&envir['M']&budget['L']&user['VL']&loc['F'],pref['L3'])\n",
        "Rule182= ctrl.Rule(taste['M']&envir['M']&budget['L']&user['VL']&loc['N'],pref['L3'])\n",
        "Rule183= ctrl.Rule(taste['M']&envir['M']&budget['L']&user['VL']&loc['C'],pref['L3'])\n",
        "\n",
        "Rule184= ctrl.Rule(taste['M']&envir['M']&budget['L']&user['L']&loc['F'],pref['L3'])\n",
        "Rule185= ctrl.Rule(taste['M']&envir['M']&budget['L']&user['L']&loc['N'],pref['L3'])\n",
        "Rule186 = ctrl.Rule(taste['M']&envir['M']&budget['L']&user['L']&loc['C'],pref['L3'])\n",
        "\n",
        "Rule187= ctrl.Rule(taste['M']&envir['M']&budget['L']&user['N']&loc['F'],pref['L3'])\n",
        "Rule188= ctrl.Rule(taste['M']&envir['M']&budget['L']&user['N']&loc['N'],pref['L3'])\n",
        "Rule189= ctrl.Rule(taste['M']&envir['M']&budget['L']&user['N']&loc['C'],pref['L3'])\n",
        "\n",
        "Rule190 = ctrl.Rule(taste['M']&envir['M']&budget['L']&user['H']&loc['F'],pref['L3'])\n",
        "Rule191= ctrl.Rule(taste['M']&envir['M']&budget['L']&user['H']&loc['N'],pref['L3'])\n",
        "Rule192= ctrl.Rule(taste['M']&envir['M']&budget['L']&user['H']&loc['C'],pref['L3'])\n",
        "\n",
        "Rule193= ctrl.Rule(taste['M']&envir['M']&budget['L']&user['VH']&loc['F'],pref['L3'])\n",
        "Rule194= ctrl.Rule(taste['M']&envir['M']&budget['L']&user['VH']&loc['N'],pref['L3'])\n",
        "Rule195= ctrl.Rule(taste['M']&envir['M']&budget['L']&user['VH']&loc['C'],pref['L3'])\n",
        "\n",
        "####\n",
        "Rule196= ctrl.Rule(taste['M']&envir['M']&budget['M']&user['VL']&loc['F'],pref['L3'])\n",
        "Rule197= ctrl.Rule(taste['M']&envir['M']&budget['M']&user['VL']&loc['N'],pref['L3'])\n",
        "Rule198= ctrl.Rule(taste['M']&envir['M']&budget['M']&user['VL']&loc['C'],pref['L3'])\n",
        "\n",
        "Rule199= ctrl.Rule(taste['M']&envir['M']&budget['M']&user['L']&loc['F'],pref['L3'])\n",
        "Rule200= ctrl.Rule(taste['M']&envir['M']&budget['M']&user['L']&loc['N'],pref['L3'])\n",
        "Rule201= ctrl.Rule(taste['M']&envir['M']&budget['M']&user['L']&loc['C'],pref['L3'])\n",
        "\n",
        "Rule202= ctrl.Rule(taste['M']&envir['M']&budget['M']&user['N']&loc['F'],pref['L3'])\n",
        "Rule203= ctrl.Rule(taste['M']&envir['M']&budget['M']&user['N']&loc['N'],pref['L3'])\n",
        "Rule204= ctrl.Rule(taste['M']&envir['M']&budget['M']&user['N']&loc['C'],pref['L3'])\n",
        "\n",
        "Rule205= ctrl.Rule(taste['M']&envir['M']&budget['M']&user['H']&loc['F'],pref['L3'])\n",
        "Rule206= ctrl.Rule(taste['M']&envir['M']&budget['M']&user['H']&loc['N'],pref['L3'])\n",
        "Rule207= ctrl.Rule(taste['M']&envir['M']&budget['M']&user['H']&loc['C'],pref['L3'])\n",
        "\n",
        "Rule208= ctrl.Rule(taste['M']&envir['M']&budget['M']&user['VH']&loc['F'],pref['L3'])\n",
        "Rule209= ctrl.Rule(taste['M']&envir['M']&budget['M']&user['VH']&loc['N'],pref['L3'])\n",
        "Rule210= ctrl.Rule(taste['M']&envir['M']&budget['M']&user['VH']&loc['C'],pref['L3'])\n",
        "####\n",
        "\n",
        "Rule211= ctrl.Rule(taste['M']&envir['M']&budget['H']&user['VL']&loc['F'],pref['L3'])\n",
        "Rule212= ctrl.Rule(taste['M']&envir['M']&budget['H']&user['VL']&loc['N'],pref['L3'])\n",
        "Rule213= ctrl.Rule(taste['M']&envir['M']&budget['H']&user['VL']&loc['C'],pref['L3'])\n",
        "\n",
        "Rule214= ctrl.Rule(taste['M']&envir['M']&budget['H']&user['L']&loc['F'],pref['L3'])\n",
        "Rule215= ctrl.Rule(taste['M']&envir['M']&budget['H']&user['L']&loc['N'],pref['L3'])\n",
        "Rule216= ctrl.Rule(taste['M']&envir['M']&budget['H']&user['L']&loc['C'],pref['L3'])\n",
        "\n",
        "Rule217= ctrl.Rule(taste['M']&envir['M']&budget['H']&user['N']&loc['F'],pref['L3'])\n",
        "Rule218= ctrl.Rule(taste['M']&envir['M']&budget['H']&user['N']&loc['N'],pref['L3'])\n",
        "Rule219 = ctrl.Rule(taste['M']&envir['M']&budget['H']&user['N']&loc['C'],pref['L3'])\n",
        "\n",
        "Rule220= ctrl.Rule(taste['M']&envir['M']&budget['H']&user['H']&loc['F'],pref['L3'])\n",
        "Rule221= ctrl.Rule(taste['M']&envir['M']&budget['H']&user['H']&loc['N'],pref['L3'])\n",
        "Rule222= ctrl.Rule(taste['M']&envir['M']&budget['H']&user['H']&loc['C'],pref['L3'])\n",
        "\n",
        "Rule223= ctrl.Rule(taste['M']&envir['M']&budget['H']&user['VH']&loc['F'],pref['L3'])\n",
        "Rule224= ctrl.Rule(taste['M']&envir['M']&budget['H']&user['VH']&loc['N'],pref['L3'])\n",
        "Rule225= ctrl.Rule(taste['M']&envir['M']&budget['H']&user['VH']&loc['C'],pref['L3'])\n",
        "#####\n",
        "\n",
        "Rule226= ctrl.Rule(taste['M']&envir['H']&budget['L']&user['VL']&loc['F'],pref['L3'])\n",
        "Rule227= ctrl.Rule(taste['M']&envir['H']&budget['L']&user['VL']&loc['N'],pref['L3'])\n",
        "Rule228= ctrl.Rule(taste['M']&envir['H']&budget['L']&user['VL']&loc['C'],pref['L3'])\n",
        "\n",
        "Rule229 = ctrl.Rule(taste['M']&envir['H']&budget['L']&user['L']&loc['F'],pref['L3'])\n",
        "Rule230= ctrl.Rule(taste['M']&envir['H']&budget['L']&user['L']&loc['N'],pref['L3'])\n",
        "Rule231= ctrl.Rule(taste['M']&envir['H']&budget['L']&user['L']&loc['C'],pref['L3'])\n",
        "\n",
        "Rule232= ctrl.Rule(taste['M']&envir['H']&budget['L']&user['N']&loc['F'],pref['L3'])\n",
        "Rule233 = ctrl.Rule(taste['M']&envir['H']&budget['L']&user['N']&loc['N'],pref['L3'])\n",
        "Rule234= ctrl.Rule(taste['M']&envir['H']&budget['L']&user['N']&loc['C'],pref['L3'])\n",
        "\n",
        "Rule235= ctrl.Rule(taste['M']&envir['H']&budget['L']&user['H']&loc['F'],pref['L3'])\n",
        "Rule236= ctrl.Rule(taste['M']&envir['H']&budget['L']&user['H']&loc['N'],pref['L3'])\n",
        "Rule237 = ctrl.Rule(taste['M']&envir['H']&budget['L']&user['H']&loc['C'],pref['L3'])\n",
        "\n",
        "Rule238= ctrl.Rule(taste['M']&envir['H']&budget['L']&user['VH']&loc['F'],pref['L3'])\n",
        "Rule239= ctrl.Rule(taste['M']&envir['H']&budget['L']&user['VH']&loc['N'],pref['L3'])\n",
        "Rule240= ctrl.Rule(taste['M']&envir['H']&budget['L']&user['VH']&loc['C'],pref['L3'])\n",
        "\n",
        "####\n",
        "Rule241 = ctrl.Rule(taste['M']&envir['H']&budget['M']&user['VL']&loc['F'],pref['L3'])\n",
        "Rule242= ctrl.Rule(taste['M']&envir['H']&budget['M']&user['VL']&loc['N'],pref['L3'])\n",
        "Rule243= ctrl.Rule(taste['M']&envir['H']&budget['M']&user['VL']&loc['C'],pref['L3'])\n",
        "\n",
        "Rule244 = ctrl.Rule(taste['M']&envir['H']&budget['M']&user['L']&loc['F'],pref['L3'])\n",
        "Rule245= ctrl.Rule(taste['M']&envir['H']&budget['M']&user['L']&loc['N'],pref['L3'])\n",
        "Rule246= ctrl.Rule(taste['M']&envir['H']&budget['M']&user['L']&loc['C'],pref['L3'])\n",
        "\n",
        "Rule247 = ctrl.Rule(taste['M']&envir['H']&budget['M']&user['N']&loc['F'],pref['L3'])\n",
        "Rule248= ctrl.Rule(taste['M']&envir['H']&budget['M']&user['N']&loc['N'],pref['L3'])\n",
        "Rule249= ctrl.Rule(taste['M']&envir['H']&budget['M']&user['N']&loc['C'],pref['L3'])\n",
        "\n",
        "Rule250= ctrl.Rule(taste['M']&envir['H']&budget['M']&user['H']&loc['F'],pref['L3'])\n",
        "Rule251= ctrl.Rule(taste['M']&envir['H']&budget['M']&user['H']&loc['N'],pref['L3'])\n",
        "Rule252= ctrl.Rule(taste['M']&envir['H']&budget['M']&user['H']&loc['C'],pref['L3'])\n",
        "\n",
        "Rule253 = ctrl.Rule(taste['M']&envir['H']&budget['M']&user['VH']&loc['F'],pref['L3'])\n",
        "Rule254= ctrl.Rule(taste['M']&envir['H']&budget['M']&user['VH']&loc['N'],pref['L3'])\n",
        "Rule255= ctrl.Rule(taste['M']&envir['H']&budget['M']&user['VH']&loc['C'],pref['L3'])\n",
        "####\n",
        "\n",
        "Rule256= ctrl.Rule(taste['M']&envir['H']&budget['H']&user['VL']&loc['F'],pref['L3'])\n",
        "Rule257= ctrl.Rule(taste['M']&envir['H']&budget['H']&user['VL']&loc['N'],pref['L3'])\n",
        "Rule258= ctrl.Rule(taste['M']&envir['H']&budget['H']&user['VL']&loc['C'],pref['L3'])\n",
        "\n",
        "Rule259= ctrl.Rule(taste['M']&envir['H']&budget['H']&user['L']&loc['F'],pref['L3'])\n",
        "Rule260= ctrl.Rule(taste['M']&envir['H']&budget['H']&user['L']&loc['N'],pref['L3'])\n",
        "Rule261= ctrl.Rule(taste['M']&envir['H']&budget['H']&user['L']&loc['C'],pref['L3'])\n",
        "\n",
        "Rule262= ctrl.Rule(taste['M']&envir['H']&budget['H']&user['N']&loc['F'],pref['L3'])\n",
        "Rule263= ctrl.Rule(taste['M']&envir['H']&budget['H']&user['N']&loc['N'],pref['L3'])\n",
        "Rule264= ctrl.Rule(taste['M']&envir['H']&budget['H']&user['N']&loc['C'],pref['L3'])\n",
        "\n",
        "Rule265 = ctrl.Rule(taste['M']&envir['H']&budget['H']&user['H']&loc['F'],pref['L3'])\n",
        "Rule266= ctrl.Rule(taste['M']&envir['H']&budget['H']&user['H']&loc['N'],pref['L3'])\n",
        "Rule267= ctrl.Rule(taste['M']&envir['H']&budget['H']&user['H']&loc['C'],pref['L3'])\n",
        "\n",
        "Rule268 = ctrl.Rule(taste['M']&envir['H']&budget['H']&user['VH']&loc['F'],pref['L3'])\n",
        "Rule269= ctrl.Rule(taste['M']&envir['H']&budget['H']&user['VH']&loc['N'],pref['L3'])\n",
        "Rule270 = ctrl.Rule(taste['M']&envir['H']&budget['H']&user['VH']&loc['C'],pref['L3'])\n",
        "####(270)\n",
        "\n",
        "Rule271= ctrl.Rule(taste['H']&envir['L']&budget['L']&user['VL']&loc['F'],pref['L4'])\n",
        "Rule272= ctrl.Rule(taste['H']&envir['L']&budget['L']&user['VL']&loc['N'],pref['L4'])\n",
        "Rule273= ctrl.Rule(taste['H']&envir['L']&budget['L']&user['VL']&loc['C'],pref['L4'])\n",
        "\n",
        "Rule274= ctrl.Rule(taste['H']&envir['L']&budget['L']&user['L']&loc['F'],pref['L4'])\n",
        "Rule275= ctrl.Rule(taste['H']&envir['L']&budget['L']&user['L']&loc['N'],pref['L4'])\n",
        "Rule276= ctrl.Rule(taste['H']&envir['L']&budget['L']&user['L']&loc['C'],pref['L4'])\n",
        "\n",
        "Rule277= ctrl.Rule(taste['H']&envir['L']&budget['L']&user['N']&loc['F'],pref['L4'])\n",
        "Rule278= ctrl.Rule(taste['H']&envir['L']&budget['L']&user['N']&loc['N'],pref['L4'])\n",
        "Rule279= ctrl.Rule(taste['H']&envir['L']&budget['L']&user['N']&loc['C'],pref['L4'])\n",
        "\n",
        "Rule280= ctrl.Rule(taste['H']&envir['L']&budget['L']&user['H']&loc['F'],pref['L4'])\n",
        "Rule281= ctrl.Rule(taste['H']&envir['L']&budget['L']&user['H']&loc['N'],pref['L4'])\n",
        "Rule282= ctrl.Rule(taste['H']&envir['L']&budget['L']&user['H']&loc['C'],pref['L4'])\n",
        "\n",
        "Rule283= ctrl.Rule(taste['H']&envir['L']&budget['L']&user['VH']&loc['F'],pref['L4'])\n",
        "Rule284= ctrl.Rule(taste['H']&envir['L']&budget['L']&user['VH']&loc['N'],pref['L4'])\n",
        "Rule285 = ctrl.Rule(taste['H']&envir['L']&budget['L']&user['VH']&loc['C'],pref['L4'])\n",
        "\n",
        "####\n",
        "Rule286 = ctrl.Rule(taste['H']&envir['L']&budget['M']&user['VL']&loc['F'],pref['L4'])\n",
        "Rule287= ctrl.Rule(taste['H']&envir['L']&budget['M']&user['VL']&loc['N'],pref['L4'])\n",
        "Rule288= ctrl.Rule(taste['H']&envir['L']&budget['M']&user['VL']&loc['C'],pref['L4'])\n",
        "\n",
        "Rule289= ctrl.Rule(taste['H']&envir['L']&budget['M']&user['L']&loc['F'],pref['L4'])\n",
        "Rule290= ctrl.Rule(taste['H']&envir['L']&budget['M']&user['L']&loc['N'],pref['L4'])\n",
        "Rule291= ctrl.Rule(taste['H']&envir['L']&budget['M']&user['L']&loc['C'],pref['L4'])\n",
        "\n",
        "Rule292= ctrl.Rule(taste['H']&envir['L']&budget['M']&user['N']&loc['F'],pref['L4'])\n",
        "Rule293= ctrl.Rule(taste['H']&envir['L']&budget['M']&user['N']&loc['N'],pref['L4'])\n",
        "Rule294 = ctrl.Rule(taste['H']&envir['L']&budget['M']&user['N']&loc['C'],pref['L4'])\n",
        "\n",
        "Rule295= ctrl.Rule(taste['H']&envir['L']&budget['M']&user['H']&loc['F'],pref['L4'])\n",
        "Rule296= ctrl.Rule(taste['H']&envir['L']&budget['M']&user['H']&loc['N'],pref['L4'])\n",
        "Rule297 = ctrl.Rule(taste['H']&envir['L']&budget['M']&user['H']&loc['C'],pref['L4'])\n",
        "\n",
        "Rule298= ctrl.Rule(taste['H']&envir['L']&budget['M']&user['VH']&loc['F'],pref['L4'])\n",
        "Rule299= ctrl.Rule(taste['H']&envir['L']&budget['M']&user['VH']&loc['N'],pref['L4'])\n",
        "Rule300= ctrl.Rule(taste['H']&envir['L']&budget['M']&user['VH']&loc['C'],pref['L4'])\n",
        "####\n",
        "\n",
        "Rule301= ctrl.Rule(taste['H']&envir['L']&budget['H']&user['VL']&loc['F'],pref['L4'])\n",
        "Rule302= ctrl.Rule(taste['H']&envir['L']&budget['H']&user['VL']&loc['N'],pref['L4'])\n",
        "Rule303= ctrl.Rule(taste['H']&envir['L']&budget['H']&user['VL']&loc['C'],pref['L4'])\n",
        "\n",
        "Rule304= ctrl.Rule(taste['H']&envir['L']&budget['H']&user['L']&loc['F'],pref['L4'])\n",
        "Rule305 = ctrl.Rule(taste['H']&envir['L']&budget['H']&user['L']&loc['N'],pref['L4'])\n",
        "Rule306= ctrl.Rule(taste['H']&envir['L']&budget['H']&user['L']&loc['C'],pref['L4'])\n",
        "\n",
        "Rule307 = ctrl.Rule(taste['H']&envir['L']&budget['H']&user['N']&loc['F'],pref['L4'])\n",
        "Rule308= ctrl.Rule(taste['H']&envir['L']&budget['H']&user['N']&loc['N'],pref['L4'])\n",
        "Rule309= ctrl.Rule(taste['H']&envir['L']&budget['H']&user['N']&loc['C'],pref['L4'])\n",
        "\n",
        "Rule310 = ctrl.Rule(taste['H']&envir['L']&budget['H']&user['H']&loc['F'],pref['L4'])\n",
        "Rule311 = ctrl.Rule(taste['H']&envir['L']&budget['H']&user['H']&loc['N'],pref['L4'])\n",
        "Rule312= ctrl.Rule(taste['H']&envir['L']&budget['H']&user['H']&loc['C'],pref['L4'])\n",
        "\n",
        "Rule313 = ctrl.Rule(taste['H']&envir['L']&budget['H']&user['VH']&loc['F'],pref['L4'])\n",
        "Rule314 = ctrl.Rule(taste['H']&envir['L']&budget['H']&user['VH']&loc['N'],pref['L4'])\n",
        "Rule315= ctrl.Rule(taste['H']&envir['L']&budget['H']&user['VH']&loc['C'],pref['L4'])\n",
        "#####\n",
        "\n",
        "Rule316= ctrl.Rule(taste['H']&envir['M']&budget['L']&user['VL']&loc['F'],pref['L4'])\n",
        "Rule317= ctrl.Rule(taste['H']&envir['M']&budget['L']&user['VL']&loc['N'],pref['L4'])\n",
        "Rule318= ctrl.Rule(taste['H']&envir['M']&budget['L']&user['VL']&loc['C'],pref['L4'])\n",
        "\n",
        "Rule319= ctrl.Rule(taste['H']&envir['M']&budget['L']&user['L']&loc['F'],pref['L4'])\n",
        "Rule320= ctrl.Rule(taste['H']&envir['M']&budget['L']&user['L']&loc['N'],pref['L4'])\n",
        "Rule321= ctrl.Rule(taste['H']&envir['M']&budget['L']&user['L']&loc['C'],pref['L4'])\n",
        "\n",
        "Rule322= ctrl.Rule(taste['H']&envir['M']&budget['L']&user['N']&loc['F'],pref['L4'])\n",
        "Rule323= ctrl.Rule(taste['H']&envir['M']&budget['L']&user['N']&loc['N'],pref['L4'])\n",
        "Rule324= ctrl.Rule(taste['H']&envir['M']&budget['L']&user['N']&loc['C'],pref['L4'])\n",
        "\n",
        "Rule325= ctrl.Rule(taste['H']&envir['M']&budget['L']&user['H']&loc['F'],pref['L4'])\n",
        "Rule326= ctrl.Rule(taste['H']&envir['M']&budget['L']&user['H']&loc['N'],pref['L4'])\n",
        "Rule327= ctrl.Rule(taste['H']&envir['M']&budget['L']&user['H']&loc['C'],pref['L4'])\n",
        "\n",
        "Rule328 = ctrl.Rule(taste['H']&envir['M']&budget['L']&user['VH']&loc['F'],pref['L4'])\n",
        "Rule329= ctrl.Rule(taste['H']&envir['M']&budget['L']&user['VH']&loc['N'],pref['L4'])\n",
        "Rule330= ctrl.Rule(taste['H']&envir['M']&budget['L']&user['VH']&loc['C'],pref['L4'])\n",
        "\n",
        "####\n",
        "Rule331= ctrl.Rule(taste['H']&envir['M']&budget['M']&user['VL']&loc['F'],pref['L4'])\n",
        "Rule332= ctrl.Rule(taste['H']&envir['M']&budget['M']&user['VL']&loc['N'],pref['L4'])\n",
        "Rule333= ctrl.Rule(taste['H']&envir['M']&budget['M']&user['VL']&loc['C'],pref['L4'])\n",
        "\n",
        "Rule334= ctrl.Rule(taste['H']&envir['M']&budget['M']&user['L']&loc['F'],pref['L4'])\n",
        "Rule335= ctrl.Rule(taste['H']&envir['M']&budget['M']&user['L']&loc['N'],pref['L4'])\n",
        "Rule336= ctrl.Rule(taste['H']&envir['M']&budget['M']&user['L']&loc['C'],pref['L4'])\n",
        "\n",
        "Rule337= ctrl.Rule(taste['H']&envir['M']&budget['M']&user['N']&loc['F'],pref['L4'])\n",
        "Rule338= ctrl.Rule(taste['H']&envir['M']&budget['M']&user['N']&loc['N'],pref['L4'])\n",
        "Rule339= ctrl.Rule(taste['H']&envir['M']&budget['M']&user['N']&loc['C'],pref['L4'])\n",
        "\n",
        "Rule340= ctrl.Rule(taste['H']&envir['M']&budget['M']&user['H']&loc['F'],pref['L4'])\n",
        "Rule341= ctrl.Rule(taste['H']&envir['M']&budget['M']&user['H']&loc['N'],pref['L4'])\n",
        "Rule342= ctrl.Rule(taste['H']&envir['M']&budget['M']&user['H']&loc['C'],pref['L4'])\n",
        "\n",
        "Rule343 = ctrl.Rule(taste['H']&envir['M']&budget['M']&user['VH']&loc['F'],pref['L4'])\n",
        "Rule344= ctrl.Rule(taste['H']&envir['M']&budget['M']&user['VH']&loc['N'],pref['L4'])\n",
        "Rule345= ctrl.Rule(taste['H']&envir['M']&budget['M']&user['VH']&loc['C'],pref['L4'])\n",
        "####\n",
        "\n",
        "Rule346 = ctrl.Rule(taste['H']&envir['M']&budget['H']&user['VL']&loc['F'],pref['L4'])\n",
        "Rule347 = ctrl.Rule(taste['H']&envir['M']&budget['H']&user['VL']&loc['N'],pref['L4'])\n",
        "Rule348= ctrl.Rule(taste['H']&envir['M']&budget['H']&user['VL']&loc['C'],pref['L4'])\n",
        "\n",
        "Rule349 = ctrl.Rule(taste['H']&envir['M']&budget['H']&user['L']&loc['F'],pref['L4'])\n",
        "Rule350= ctrl.Rule(taste['H']&envir['M']&budget['H']&user['L']&loc['N'],pref['L4'])\n",
        "Rule351= ctrl.Rule(taste['H']&envir['M']&budget['H']&user['L']&loc['C'],pref['L4'])\n",
        "\n",
        "Rule352= ctrl.Rule(taste['H']&envir['M']&budget['H']&user['N']&loc['F'],pref['L4'])\n",
        "Rule353= ctrl.Rule(taste['H']&envir['M']&budget['H']&user['N']&loc['N'],pref['L4'])\n",
        "Rule354= ctrl.Rule(taste['H']&envir['M']&budget['H']&user['N']&loc['C'],pref['L4'])\n",
        "\n",
        "Rule355= ctrl.Rule(taste['H']&envir['M']&budget['H']&user['H']&loc['F'],pref['L4'])\n",
        "Rule356= ctrl.Rule(taste['H']&envir['M']&budget['H']&user['H']&loc['N'],pref['L4'])\n",
        "Rule357= ctrl.Rule(taste['H']&envir['M']&budget['H']&user['H']&loc['C'],pref['L4'])\n",
        "\n",
        "Rule358 = ctrl.Rule(taste['H']&envir['M']&budget['H']&user['VH']&loc['F'],pref['L4'])\n",
        "Rule359= ctrl.Rule(taste['H']&envir['M']&budget['H']&user['VH']&loc['N'],pref['L4'])\n",
        "Rule360= ctrl.Rule(taste['H']&envir['M']&budget['H']&user['VH']&loc['C'],pref['L4'])\n",
        "#####360\n",
        "\n",
        "Rule361= ctrl.Rule(taste['H']&envir['H']&budget['L']&user['VL']&loc['F'],pref['L5'])\n",
        "Rule362= ctrl.Rule(taste['H']&envir['H']&budget['L']&user['VL']&loc['N'],pref['L5'])\n",
        "Rule363= ctrl.Rule(taste['H']&envir['H']&budget['L']&user['VL']&loc['C'],pref['L5'])\n",
        "\n",
        "Rule364= ctrl.Rule(taste['H']&envir['H']&budget['L']&user['L']&loc['F'],pref['L5'])\n",
        "Rule365= ctrl.Rule(taste['H']&envir['H']&budget['L']&user['L']&loc['N'],pref['L5'])\n",
        "Rule366= ctrl.Rule(taste['H']&envir['H']&budget['L']&user['L']&loc['C'],pref['L5'])\n",
        "\n",
        "Rule367= ctrl.Rule(taste['H']&envir['H']&budget['L']&user['N']&loc['F'],pref['L5'])\n",
        "Rule368= ctrl.Rule(taste['H']&envir['H']&budget['L']&user['N']&loc['N'],pref['L5'])\n",
        "Rule369= ctrl.Rule(taste['H']&envir['H']&budget['L']&user['N']&loc['C'],pref['L5'])\n",
        "\n",
        "Rule370= ctrl.Rule(taste['H']&envir['H']&budget['L']&user['H']&loc['F'],pref['L5'])\n",
        "Rule371= ctrl.Rule(taste['H']&envir['H']&budget['L']&user['H']&loc['N'],pref['L5'])\n",
        "Rule372= ctrl.Rule(taste['H']&envir['H']&budget['L']&user['H']&loc['C'],pref['L5'])\n",
        "\n",
        "Rule373= ctrl.Rule(taste['H']&envir['H']&budget['L']&user['VH']&loc['F'],pref['L5'])\n",
        "Rule374= ctrl.Rule(taste['H']&envir['H']&budget['L']&user['VH']&loc['N'],pref['L5'])\n",
        "Rule375= ctrl.Rule(taste['H']&envir['H']&budget['L']&user['VH']&loc['C'],pref['L5'])\n",
        "\n",
        "####\n",
        "Rule376= ctrl.Rule(taste['H']&envir['H']&budget['M']&user['VL']&loc['F'],pref['L5'])\n",
        "Rule377= ctrl.Rule(taste['H']&envir['H']&budget['M']&user['VL']&loc['N'],pref['L5'])\n",
        "Rule378= ctrl.Rule(taste['H']&envir['H']&budget['M']&user['VL']&loc['C'],pref['L5'])\n",
        "\n",
        "Rule379 = ctrl.Rule(taste['H']&envir['H']&budget['M']&user['L']&loc['F'],pref['L5'])\n",
        "Rule380= ctrl.Rule(taste['H']&envir['H']&budget['M']&user['L']&loc['N'],pref['L5'])\n",
        "Rule381= ctrl.Rule(taste['H']&envir['H']&budget['M']&user['L']&loc['C'],pref['L5'])\n",
        "\n",
        "Rule382= ctrl.Rule(taste['H']&envir['H']&budget['M']&user['N']&loc['F'],pref['L5'])\n",
        "Rule383= ctrl.Rule(taste['H']&envir['H']&budget['M']&user['N']&loc['N'],pref['L5'])\n",
        "Rule384= ctrl.Rule(taste['H']&envir['H']&budget['M']&user['N']&loc['C'],pref['L5'])\n",
        "\n",
        "Rule385= ctrl.Rule(taste['H']&envir['H']&budget['M']&user['H']&loc['F'],pref['L5'])\n",
        "Rule386= ctrl.Rule(taste['H']&envir['H']&budget['M']&user['H']&loc['N'],pref['L5'])\n",
        "Rule387= ctrl.Rule(taste['H']&envir['H']&budget['M']&user['H']&loc['C'],pref['L5'])\n",
        "\n",
        "Rule388= ctrl.Rule(taste['H']&envir['H']&budget['M']&user['VH']&loc['F'],pref['L5'])\n",
        "Rule389= ctrl.Rule(taste['H']&envir['H']&budget['M']&user['VH']&loc['N'],pref['L5'])\n",
        "Rule390= ctrl.Rule(taste['H']&envir['H']&budget['M']&user['VH']&loc['C'],pref['L5'])\n",
        "####\n",
        "\n",
        "Rule391= ctrl.Rule(taste['H']&envir['H']&budget['H']&user['VL']&loc['F'],pref['L5'])\n",
        "Rule392= ctrl.Rule(taste['H']&envir['H']&budget['H']&user['VL']&loc['N'],pref['L5'])\n",
        "Rule393= ctrl.Rule(taste['H']&envir['H']&budget['H']&user['VL']&loc['C'],pref['L5'])\n",
        "\n",
        "Rule394= ctrl.Rule(taste['H']&envir['H']&budget['H']&user['L']&loc['F'],pref['L5'])\n",
        "Rule395= ctrl.Rule(taste['H']&envir['H']&budget['H']&user['L']&loc['N'],pref['L5'])\n",
        "Rule396= ctrl.Rule(taste['H']&envir['H']&budget['H']&user['L']&loc['C'],pref['L5'])\n",
        "\n",
        "Rule397= ctrl.Rule(taste['H']&envir['H']&budget['H']&user['N']&loc['F'],pref['L5'])\n",
        "Rule398= ctrl.Rule(taste['H']&envir['H']&budget['H']&user['N']&loc['N'],pref['L5'])\n",
        "Rule399= ctrl.Rule(taste['H']&envir['H']&budget['H']&user['N']&loc['C'],pref['L5'])\n",
        "\n",
        "Rule400= ctrl.Rule(taste['H']&envir['H']&budget['H']&user['H']&loc['F'],pref['L5'])\n",
        "Rule401= ctrl.Rule(taste['H']&envir['H']&budget['H']&user['H']&loc['N'],pref['L5'])\n",
        "Rule402= ctrl.Rule(taste['H']&envir['H']&budget['H']&user['H']&loc['C'],pref['L5'])\n",
        "\n",
        "Rule403= ctrl.Rule(taste['H']&envir['H']&budget['H']&user['VH']&loc['F'],pref['L5'])\n",
        "Rule404= ctrl.Rule(taste['H']&envir['H']&budget['H']&user['VH']&loc['N'],pref['L5'])\n",
        "Rule405= ctrl.Rule(taste['H']&envir['H']&budget['H']&user['VH']&loc['C'],pref['L5'])\n",
        "###405"
      ],
      "metadata": {
        "id": "X9S6duyjntiF"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# for i in range(405):\n",
        "#   print(\"Rule{0},\".format(i+1))"
      ],
      "metadata": {
        "id": "Om6CUH5ei2rX"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "prefering_ctrl = ctrl.ControlSystem([Rule1,Rule2,Rule3,Rule4,Rule5,Rule6,Rule7,Rule8,Rule9,Rule10,Rule11,Rule12,Rule13,Rule14,Rule15,Rule16,Rule17,Rule18,Rule19,Rule20,Rule21,Rule22,Rule23,Rule24,Rule25,Rule26,Rule27,Rule28,Rule29,Rule30,Rule31,Rule32,Rule33,Rule34,Rule35,Rule36,Rule37,Rule38,Rule39,Rule40,Rule41,Rule42,Rule43,Rule44,Rule45,Rule46,Rule47,Rule48,Rule49,Rule50,Rule51,Rule52,Rule53,Rule54,Rule55,Rule56,Rule57,Rule58,Rule59,Rule60,Rule61,Rule62,Rule63,Rule64,Rule65,Rule66,Rule67,Rule68,Rule69,Rule70,Rule71,Rule72,Rule73,Rule74,Rule75,Rule76,Rule77,Rule78,Rule79,Rule80,Rule81,Rule82,Rule83,Rule84,Rule85,Rule86,Rule87,Rule88,Rule89,Rule90,Rule91,Rule92,Rule93,Rule94,Rule95,Rule96,Rule97,Rule98,Rule99,Rule100,Rule101,Rule102,Rule103,Rule104,Rule105,Rule106,Rule107,Rule108,Rule109,Rule110,Rule111,Rule112,Rule113,Rule114,Rule115,Rule116,Rule117,Rule118,Rule119,Rule120,Rule121,Rule122,Rule123,Rule124,Rule125,Rule126,Rule127,Rule128,Rule129,Rule130,Rule131,Rule132,Rule133,Rule134,Rule135,Rule136,Rule137,Rule138,Rule139,Rule140,Rule141,Rule142,Rule143,Rule144,Rule145,Rule146,Rule147,Rule148,Rule149,Rule150,Rule151,Rule152,Rule153,Rule154,Rule155,Rule156,Rule157,Rule158,Rule159,Rule160,Rule161,Rule162,Rule163,Rule164,Rule165,Rule166,Rule167,Rule168,Rule169,Rule170,Rule171,Rule172,Rule173,Rule174,Rule175,Rule176,Rule177,Rule178,Rule179,Rule180,Rule181,Rule182,Rule183,Rule184,Rule185,Rule186,Rule187,Rule188,Rule189,Rule190,Rule191,Rule192,Rule193,Rule194,Rule195,Rule196,Rule197,Rule198,Rule199,Rule200,Rule201,Rule202,Rule203,Rule204,Rule205,Rule206,Rule207,Rule208,Rule209,Rule210,Rule211,Rule212,Rule213,Rule214,Rule215,Rule216,Rule217,Rule218,Rule219,Rule220,Rule221,Rule222,Rule223,Rule224,Rule225,Rule226,Rule227,Rule228,Rule229,Rule230,Rule231,Rule232,Rule233,Rule234,Rule235,Rule236,Rule237,Rule238,Rule239,Rule240,Rule241,Rule242,Rule243,Rule244,Rule245,Rule246,Rule247,Rule248,Rule249,Rule250,Rule251,Rule252,Rule253,Rule254,Rule255,Rule256,Rule257,Rule258,Rule259,Rule260,Rule261,Rule262,Rule263,Rule264,Rule265,Rule266,Rule267,Rule268,Rule269,Rule270,Rule271,Rule272,Rule273,Rule274,Rule275,Rule276,Rule277,Rule278,Rule279,Rule280,Rule281,Rule282,Rule283,Rule284,Rule285,Rule286,Rule287,Rule288,Rule289,Rule290,Rule291,Rule292,Rule293,Rule294,Rule295,Rule296,Rule297,Rule298,Rule299,Rule300,Rule301,Rule302,Rule303,Rule304,Rule305,Rule306,Rule307,Rule308,Rule309,Rule310,Rule311,Rule312,Rule313,Rule314,Rule315,Rule316,Rule317,Rule318,Rule319,Rule320,Rule321,Rule322,Rule323,Rule324,Rule325,Rule326,Rule327,Rule328,Rule329,Rule330,Rule331,Rule332,Rule333,Rule334,Rule335,Rule336,Rule337,Rule338,Rule339,Rule340,Rule341,Rule342,Rule343,Rule344,Rule345,Rule346,Rule347,Rule348,Rule349,Rule350,Rule351,Rule352,Rule353,Rule354,Rule355,Rule356,Rule357,Rule358,Rule359,Rule360,Rule361,Rule362,Rule363,Rule364,Rule365,Rule366,Rule367,Rule368,Rule369,Rule370,Rule371,Rule372,Rule373,Rule374,Rule375,Rule376,Rule377,Rule378,Rule379,Rule380,Rule381,Rule382,Rule383,Rule384,Rule385,Rule386,Rule387,Rule388,Rule389,Rule390,Rule391,Rule392,Rule393,Rule394,Rule395,Rule396,Rule397,Rule398,Rule399,Rule400,Rule401,Rule402,Rule403,Rule404,Rule405])\n",
        "\n",
        "prefering = ctrl.ControlSystemSimulation(prefering_ctrl)\n",
        "prefering.input['Taste'] = 9\n",
        "prefering.input['Environment'] = 9\n",
        "prefering.input['Budget'] = 8\n",
        "prefering.input['User'] = 4.5\n",
        "prefering.input['Location'] = 2.5\n",
        "prefering.compute()\n",
        "print(prefering.output['Preference'])\n",
        "pref.view(sim=prefering)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 298
        },
        "id": "4F7_g9hRjk27",
        "outputId": "6f3b160a-7e40-4b2b-c1c7-787979ab9eb2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "11.793391957708831\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "N0ghZGMhlOpW"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}