{
 "cells": [
  {
   "cell_type": "markdown",
   "source": [
    "# T-norm operators"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "\n",
    "import FuzzySystem as fs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### Initial Fuzzy Set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "mf = fs.FuzzySet('MF1', fs.Gaussmf([2,5], universe=[0,10]))\n",
    "mf.show()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "### T-norm as the minimum"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "mf.cut(.7)\n",
    "mf.fs_operator = 'min'\n",
    "mf.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "source": [
    "### T-norm as the product"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "mf.cut(.7)\n",
    "mf.fs_operator = 'prod'\n",
    "mf.show()\n"
   ]
  }
 ],
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