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@rohitner
Created March 3, 2018 16:22
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basic use of scikit-fuzzy
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{
"cells": [
{
"cell_type": "code",
"execution_count": 49,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"import skfuzzy as fuzz"
]
},
{
"cell_type": "code",
"execution_count": 152,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"x = np.arange(1,101,0.4);"
]
},
{
"cell_type": "code",
"execution_count": 153,
"metadata": {},
"outputs": [],
"source": [
"mfx = fuzz.trimf(x,[30,35,50])\n",
"mfy = fuzz.trapmf(x,[40,45,60,90])\n",
"xy, mfxy = fuzz.fuzzy_div(x,mfx,x,mfy)\n",
"yx, mfyx = fuzz.fuzzy_mult(x,mfx,x,mfy)"
]
},
{
"cell_type": "code",
"execution_count": 172,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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Tw/DwsOswREREYuli0hbfShsELZKnT/8909NP0dt7tetwZBlK2lJksUrbNm8b1VqVk5Mn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\n9OwoAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f278b1de910>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(15,5))\n",
"plt.subplot(1,3,1)\n",
"plt.plot(mfx,'g')\n",
"plt.plot(mfy,'r')\n",
"plt.legend(['a','b'])\n",
"plt.subplot(1,3,2)\n",
"plt.plot(xy,mfxy,'b')\n",
"plt.legend(['a/b'])\n",
"plt.subplot(1,3,3)\n",
"plt.plot(yx,mfyx,'y')\n",
"plt.legend(['a*b'])\n",
"plt.savefig(\"plt.pdf\")\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 143,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 2",
"language": "python",
"name": "python2"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.14"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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