{
"cells": [
{
"cell_type": "code",
"execution_count": 70,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"|--- Density <= 1.04\n",
"| |--- Density <= 1.03\n",
"| | |--- value: [70.00]\n",
"| |--- Density > 1.03\n",
"| | |--- Density <= 1.04\n",
"| | | |--- value: [65.00]\n",
"| | |--- Density > 1.04\n",
"| | | |--- value: [60.00]\n",
"|--- Density > 1.04\n",
"| |--- Density <= 1.07\n",
"| | |--- TiO2 <= 0.03\n",
"| | | |--- Al2O3 <= 0.03\n",
"| | | | |--- Density <= 1.05\n",
"| | | | | |--- Density <= 1.05\n",
"| | | | | | |--- value: [50.00]\n",
"| | | | | |--- Density > 1.05\n",
"| | | | | | |--- value: [42.50]\n",
"| | | | |--- Density > 1.05\n",
"| | | | | |--- Density <= 1.06\n",
"| | | | | | |--- value: [35.00]\n",
"| | | | | |--- Density > 1.06\n",
"| | | | | | |--- value: [22.50]\n",
"| | | |--- Al2O3 > 0.03\n",
"| | | | |--- Density <= 1.06\n",
"| | | | | |--- Density <= 1.05\n",
"| | | | | | |--- value: [70.00]\n",
"| | | | | |--- Density > 1.05\n",
"| | | | | | |--- value: [65.00]\n",
"| | | | |--- Density > 1.06\n",
"| | | | | |--- Density <= 1.07\n",
"| | | | | | |--- value: [55.00]\n",
"| | | | | |--- Density > 1.07\n",
"| | | | | | |--- value: [50.00]\n",
"| | |--- TiO2 > 0.03\n",
"| | | |--- Density <= 1.06\n",
"| | | | |--- value: [70.00]\n",
"| | | |--- Density > 1.06\n",
"| | | | |--- Density <= 1.06\n",
"| | | | | |--- value: [65.00]\n",
"| | | | |--- Density > 1.06\n",
"| | | | | |--- value: [60.00]\n",
"| |--- Density > 1.07\n",
"| | |--- Density <= 1.12\n",
"| | | |--- Density <= 1.08\n",
"| | | | |--- Density <= 1.07\n",
"| | | | | |--- value: [45.00]\n",
"| | | | |--- Density > 1.07\n",
"| | | | | |--- Density <= 1.08\n",
"| | | | | | |--- value: [40.00]\n",
"| | | | | |--- Density > 1.08\n",
"| | | | | | |--- value: [35.00]\n",
"| | | |--- Density > 1.08\n",
"| | | | |--- Density <= 1.09\n",
"| | | | | |--- value: [30.00]\n",
"| | | | |--- Density > 1.09\n",
"| | | | | |--- Al2O3 <= 0.03\n",
"| | | | | | |--- value: [22.50]\n",
"| | | | | |--- Al2O3 > 0.03\n",
"| | | | | | |--- value: [20.00]\n",
"| | |--- Density > 1.12\n",
"| | | |--- Density <= 1.18\n",
"| | | | |--- Density <= 1.15\n",
"| | | | | |--- value: [70.00]\n",
"| | | | |--- Density > 1.15\n",
"| | | | | |--- Al2O3 <= 0.15\n",
"| | | | | | |--- value: [65.00]\n",
"| | | | | |--- Al2O3 > 0.15\n",
"| | | | | | |--- value: [50.00]\n",
"| | | |--- Density > 1.18\n",
"| | | | |--- Al2O3 <= 0.15\n",
"| | | | | |--- Density <= 1.20\n",
"| | | | | | |--- value: [50.00]\n",
"| | | | | |--- Density > 1.20\n",
"| | | | | | |--- value: [30.00]\n",
"| | | | |--- Al2O3 > 0.15\n",
"| | | | | |--- Density <= 1.18\n",
"| | | | | | |--- value: [30.00]\n",
"| | | | | |--- Density > 1.18\n",
"| | | | | | |--- value: [22.50]\n",
"\n"
]
}
],
"source": [
"import pickle\n",
"import pandas as pd\n",
"from sklearn import tree\n",
"\n",
"model = pickle.load(open(\"data/temp_density_tree.model.sav\", \"rb\"))\n",
"features = (\n",
" pd.read_csv(\"data/density_train.csv\", sep=\";\", decimal=\",\")\n",
" .drop([\"T\"], axis=1)\n",
" .columns.values.tolist()\n",
")\n",
"\n",
"rules = tree.export_text(model, feature_names=features)\n",
"print(rules)"
]
},
{
"cell_type": "code",
"execution_count": 71,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"27"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"[if (Density > 1.042) and (Density > 1.069) and (Density <= 1.118) and (Density > 1.083) and (Density > 1.086) and (Al2O3 > 0.025) -> 20.0,\n",
" if (Density > 1.042) and (Density <= 1.069) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) and (Density > 1.053) and (Density > 1.057) -> 22.5,\n",
" if (Density <= 1.042) and (Density > 1.033) and (Density > 1.037) -> 60.0,\n",
" if (Density > 1.042) and (Density <= 1.069) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) and (Density <= 1.053) and (Density <= 1.046) -> 50.0,\n",
" if (Density > 1.042) and (Density <= 1.069) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) and (Density <= 1.053) and (Density > 1.046) -> 42.5,\n",
" if (Density > 1.042) and (Density <= 1.069) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) and (Density > 1.053) and (Density <= 1.057) -> 35.0,\n",
" if (Density <= 1.042) and (Density > 1.033) and (Density <= 1.037) -> 65.0,\n",
" if (Density > 1.042) and (Density <= 1.069) and (TiO2 <= 0.025) and (Al2O3 > 0.025) and (Density <= 1.061) and (Density <= 1.055) -> 70.0,\n",
" if (Density > 1.042) and (Density <= 1.069) and (TiO2 <= 0.025) and (Al2O3 > 0.025) and (Density <= 1.061) and (Density > 1.055) -> 65.0,\n",
" if (Density > 1.042) and (Density <= 1.069) and (TiO2 <= 0.025) and (Al2O3 > 0.025) and (Density > 1.061) and (Density <= 1.066) -> 55.0,\n",
" if (Density > 1.042) and (Density <= 1.069) and (TiO2 <= 0.025) and (Al2O3 > 0.025) and (Density > 1.061) and (Density > 1.066) -> 50.0,\n",
" if (Density > 1.042) and (Density <= 1.069) and (TiO2 > 0.025) and (Density <= 1.058) -> 70.0,\n",
" if (Density > 1.042) and (Density <= 1.069) and (TiO2 > 0.025) and (Density > 1.058) and (Density <= 1.062) -> 65.0,\n",
" if (Density > 1.042) and (Density <= 1.069) and (TiO2 > 0.025) and (Density > 1.058) and (Density > 1.062) -> 60.0,\n",
" if (Density > 1.042) and (Density > 1.069) and (Density <= 1.118) and (Density <= 1.083) and (Density <= 1.074) -> 45.0,\n",
" if (Density > 1.042) and (Density > 1.069) and (Density <= 1.118) and (Density <= 1.083) and (Density > 1.074) and (Density <= 1.079) -> 40.0,\n",
" if (Density > 1.042) and (Density > 1.069) and (Density <= 1.118) and (Density <= 1.083) and (Density > 1.074) and (Density > 1.079) -> 35.0,\n",
" if (Density > 1.042) and (Density > 1.069) and (Density <= 1.118) and (Density > 1.083) and (Density <= 1.086) -> 30.0,\n",
" if (Density > 1.042) and (Density > 1.069) and (Density <= 1.118) and (Density > 1.083) and (Density > 1.086) and (Al2O3 <= 0.025) -> 22.5,\n",
" if (Density <= 1.042) and (Density <= 1.033) -> 70.0,\n",
" if (Density > 1.042) and (Density > 1.069) and (Density > 1.118) and (Density <= 1.179) and (Density <= 1.148) -> 70.0,\n",
" if (Density > 1.042) and (Density > 1.069) and (Density > 1.118) and (Density <= 1.179) and (Density > 1.148) and (Al2O3 <= 0.15) -> 65.0,\n",
" if (Density > 1.042) and (Density > 1.069) and (Density > 1.118) and (Density <= 1.179) and (Density > 1.148) and (Al2O3 > 0.15) -> 50.0,\n",
" if (Density > 1.042) and (Density > 1.069) and (Density > 1.118) and (Density > 1.179) and (Al2O3 <= 0.15) and (Density <= 1.203) -> 50.0,\n",
" if (Density > 1.042) and (Density > 1.069) and (Density > 1.118) and (Density > 1.179) and (Al2O3 <= 0.15) and (Density > 1.203) -> 30.0,\n",
" if (Density > 1.042) and (Density > 1.069) and (Density > 1.118) and (Density > 1.179) and (Al2O3 > 0.15) and (Density <= 1.182) -> 30.0,\n",
" if (Density > 1.042) and (Density > 1.069) and (Density > 1.118) and (Density > 1.179) and (Al2O3 > 0.15) and (Density > 1.182) -> 22.5]"
]
},
"execution_count": 71,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from src.rules import get_rules\n",
"\n",
"\n",
"rules = get_rules(model, features)\n",
"display(len(rules))\n",
"rules"
]
},
{
"cell_type": "code",
"execution_count": 72,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"27"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"[if (Density > 1.042) and (Density <= 1.118) and (Al2O3 > 0.025) -> 20.0,\n",
" if (Density > 1.042) and (Density <= 1.069) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) -> 22.5,\n",
" if (Density <= 1.042) and (Density > 1.033) -> 60.0,\n",
" if (Density > 1.042) and (Density <= 1.069) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) -> 50.0,\n",
" if (Density > 1.042) and (Density <= 1.069) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) -> 42.5,\n",
" if (Density > 1.042) and (Density <= 1.069) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) -> 35.0,\n",
" if (Density <= 1.042) and (Density > 1.033) -> 65.0,\n",
" if (Density > 1.042) and (Density <= 1.069) and (TiO2 <= 0.025) and (Al2O3 > 0.025) -> 70.0,\n",
" if (Density > 1.042) and (Density <= 1.069) and (TiO2 <= 0.025) and (Al2O3 > 0.025) -> 65.0,\n",
" if (Density > 1.042) and (Density <= 1.069) and (TiO2 <= 0.025) and (Al2O3 > 0.025) -> 55.0,\n",
" if (Density > 1.042) and (Density <= 1.069) and (TiO2 <= 0.025) and (Al2O3 > 0.025) -> 50.0,\n",
" if (Density > 1.042) and (Density <= 1.069) and (TiO2 > 0.025) -> 70.0,\n",
" if (Density > 1.042) and (Density <= 1.069) and (TiO2 > 0.025) -> 65.0,\n",
" if (Density > 1.042) and (Density <= 1.069) and (TiO2 > 0.025) -> 60.0,\n",
" if (Density > 1.042) and (Density <= 1.118) -> 45.0,\n",
" if (Density > 1.042) and (Density <= 1.118) -> 40.0,\n",
" if (Density > 1.042) and (Density <= 1.118) -> 35.0,\n",
" if (Density > 1.042) and (Density <= 1.118) -> 30.0,\n",
" if (Density > 1.042) and (Density <= 1.118) and (Al2O3 <= 0.025) -> 22.5,\n",
" if (Density <= 1.042) -> 70.0,\n",
" if (Density > 1.042) and (Density <= 1.179) -> 70.0,\n",
" if (Density > 1.042) and (Density <= 1.179) and (Al2O3 <= 0.15) -> 65.0,\n",
" if (Density > 1.042) and (Density <= 1.179) and (Al2O3 > 0.15) -> 50.0,\n",
" if (Density > 1.042) and (Density <= 1.203) and (Al2O3 <= 0.15) -> 50.0,\n",
" if (Density > 1.042) and (Al2O3 <= 0.15) -> 30.0,\n",
" if (Density > 1.042) and (Density <= 1.182) and (Al2O3 > 0.15) -> 30.0,\n",
" if (Density > 1.042) and (Al2O3 > 0.15) -> 22.5]"
]
},
"execution_count": 72,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from src.rules import normalise_rules\n",
"\n",
"\n",
"rules = normalise_rules(rules)\n",
"display(len(rules))\n",
"rules"
]
},
{
"cell_type": "code",
"execution_count": 73,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"15"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"[if (Density > 1.042) and (Density <= 1.118) and (Al2O3 > 0.025) -> 20.0,\n",
" if (Density > 1.042) and (Density <= 1.069) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) -> 37.5,\n",
" if (Density <= 1.042) and (Density > 1.033) -> 62.5,\n",
" if (Density > 1.042) and (Density <= 1.069) and (TiO2 <= 0.025) and (Al2O3 > 0.025) -> 60.0,\n",
" if (Density > 1.042) and (Density <= 1.069) and (TiO2 > 0.025) -> 65.0,\n",
" if (Density > 1.042) and (Density <= 1.118) -> 37.5,\n",
" if (Density > 1.042) and (Density <= 1.118) and (Al2O3 <= 0.025) -> 22.5,\n",
" if (Density <= 1.042) -> 70.0,\n",
" if (Density > 1.042) and (Density <= 1.179) -> 70.0,\n",
" if (Density > 1.042) and (Density <= 1.179) and (Al2O3 <= 0.15) -> 65.0,\n",
" if (Density > 1.042) and (Density <= 1.179) and (Al2O3 > 0.15) -> 50.0,\n",
" if (Density > 1.042) and (Density <= 1.203) and (Al2O3 <= 0.15) -> 50.0,\n",
" if (Density > 1.042) and (Al2O3 <= 0.15) -> 30.0,\n",
" if (Density > 1.042) and (Density <= 1.182) and (Al2O3 > 0.15) -> 30.0,\n",
" if (Density > 1.042) and (Al2O3 > 0.15) -> 22.5]"
]
},
"execution_count": 73,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from src.rules import delete_same_rules\n",
"\n",
"\n",
"rules = delete_same_rules(rules)\n",
"display(len(rules))\n",
"rules"
]
},
{
"cell_type": "code",
"execution_count": 74,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" T | \n",
" Al2O3 | \n",
" TiO2 | \n",
" Density | \n",
"
\n",
" \n",
" \n",
" \n",
" 0 | \n",
" 20 | \n",
" 0.0 | \n",
" 0.0 | \n",
" 1.06250 | \n",
"
\n",
" \n",
" 1 | \n",
" 25 | \n",
" 0.0 | \n",
" 0.0 | \n",
" 1.05979 | \n",
"
\n",
" \n",
" 2 | \n",
" 35 | \n",
" 0.0 | \n",
" 0.0 | \n",
" 1.05404 | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" T Al2O3 TiO2 Density\n",
"0 20 0.0 0.0 1.06250\n",
"1 25 0.0 0.0 1.05979\n",
"2 35 0.0 0.0 1.05404"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" T | \n",
" Al2O3 | \n",
" TiO2 | \n",
" Density | \n",
"
\n",
" \n",
" \n",
" \n",
" 0 | \n",
" 30 | \n",
" 0.00 | \n",
" 0.0 | \n",
" 1.05696 | \n",
"
\n",
" \n",
" 1 | \n",
" 55 | \n",
" 0.00 | \n",
" 0.0 | \n",
" 1.04158 | \n",
"
\n",
" \n",
" 2 | \n",
" 25 | \n",
" 0.05 | \n",
" 0.0 | \n",
" 1.08438 | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" T Al2O3 TiO2 Density\n",
"0 30 0.00 0.0 1.05696\n",
"1 55 0.00 0.0 1.04158\n",
"2 25 0.05 0.0 1.08438"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" count | \n",
" mean | \n",
" std | \n",
" min | \n",
" 25% | \n",
" 50% | \n",
" 75% | \n",
" max | \n",
"
\n",
" \n",
" \n",
" \n",
" T | \n",
" 38.0 | \n",
" 45.526316 | \n",
" 16.513282 | \n",
" 20.00000 | \n",
" 31.25000 | \n",
" 45.000000 | \n",
" 60.000000 | \n",
" 70.0000 | \n",
"
\n",
" \n",
" Al2O3 | \n",
" 38.0 | \n",
" 0.078947 | \n",
" 0.126080 | \n",
" 0.00000 | \n",
" 0.00000 | \n",
" 0.000000 | \n",
" 0.050000 | \n",
" 0.3000 | \n",
"
\n",
" \n",
" TiO2 | \n",
" 38.0 | \n",
" 0.057895 | \n",
" 0.108133 | \n",
" 0.00000 | \n",
" 0.00000 | \n",
" 0.000000 | \n",
" 0.050000 | \n",
" 0.3000 | \n",
"
\n",
" \n",
" Density | \n",
" 38.0 | \n",
" 1.108180 | \n",
" 0.060772 | \n",
" 1.03182 | \n",
" 1.05763 | \n",
" 1.082755 | \n",
" 1.169058 | \n",
" 1.2186 | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" count mean std min 25% 50% \\\n",
"T 38.0 45.526316 16.513282 20.00000 31.25000 45.000000 \n",
"Al2O3 38.0 0.078947 0.126080 0.00000 0.00000 0.000000 \n",
"TiO2 38.0 0.057895 0.108133 0.00000 0.00000 0.000000 \n",
"Density 38.0 1.108180 0.060772 1.03182 1.05763 1.082755 \n",
"\n",
" 75% max \n",
"T 60.000000 70.0000 \n",
"Al2O3 0.050000 0.3000 \n",
"TiO2 0.050000 0.3000 \n",
"Density 1.169058 1.2186 "
]
},
"execution_count": 74,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"train = pd.read_csv(\"data/density_train.csv\", sep=\";\", decimal=\",\")\n",
"test = pd.read_csv(\"data/density_test.csv\", sep=\";\", decimal=\",\")\n",
"\n",
"train[\"Density\"] = train[\"Density\"]\n",
"test[\"Density\"] = test[\"Density\"]\n",
"\n",
"display(train.head(3))\n",
"display(test.head(3))\n",
"train.describe().transpose()"
]
},
{
"cell_type": "code",
"execution_count": 75,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"15"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"[if (Density = 1.08) and (Al2O3 = 0.3) -> 20.0,\n",
" if (Density = 1.055) and (TiO2 = 0.0) and (Al2O3 = 0.0) -> 37.5,\n",
" if (Density = 1.037) -> 62.5,\n",
" if (Density = 1.055) and (TiO2 = 0.0) and (Al2O3 = 0.3) -> 60.0,\n",
" if (Density = 1.055) and (TiO2 = 0.3) -> 65.0,\n",
" if (Density = 1.08) -> 37.5,\n",
" if (Density = 1.08) and (Al2O3 = 0.0) -> 22.5,\n",
" if (Density = 1.032) -> 70.0,\n",
" if (Density = 1.11) -> 70.0,\n",
" if (Density = 1.11) and (Al2O3 = 0.0) -> 65.0,\n",
" if (Density = 1.11) and (Al2O3 = 0.3) -> 50.0,\n",
" if (Density = 1.122) and (Al2O3 = 0.0) -> 50.0,\n",
" if (Density = 1.219) and (Al2O3 = 0.0) -> 30.0,\n",
" if (Density = 1.112) and (Al2O3 = 0.3) -> 30.0,\n",
" if (Density = 1.219) and (Al2O3 = 0.3) -> 22.5]"
]
},
"execution_count": 75,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from src.rules import simplify_rules\n",
"\n",
"rules = simplify_rules(train, rules)\n",
"display(len(rules))\n",
"rules"
]
},
{
"cell_type": "code",
"execution_count": 124,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/user/Projects/python/fuzzy-rules-generator/.venv/lib/python3.12/site-packages/skfuzzy/control/fuzzyvariable.py:125: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n",
" fig.show()\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import numpy as np\n",
"from skfuzzy import control as ctrl\n",
"import skfuzzy as fuzz\n",
"\n",
"al = ctrl.Antecedent(np.arange(0, 0.3, 0.1), \"al\")\n",
"ti = ctrl.Antecedent(np.arange(0, 0.3, 0.1), \"ti\")\n",
"density = ctrl.Antecedent(np.arange(1.03, 1.22, 0.001), \"density\")\n",
"# temp = ctrl.Consequent(train[\"T\"].sort_values().unique(), \"temp\")\n",
"temp = ctrl.Consequent(np.arange(20, 70, 0.1), \"temp\")\n",
"\n",
"al.automf(3, variable_type=\"quant\")\n",
"al.view()\n",
"ti.automf(3, variable_type=\"quant\")\n",
"ti.view()\n",
"density.automf(5, variable_type=\"quant\")\n",
"density.view()\n",
"temp.automf(5, variable_type=\"quant\")\n",
"temp.view()"
]
},
{
"cell_type": "code",
"execution_count": 125,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"11"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"[IF density[low] AND al[high] THEN temp[lower]\n",
" \tAND aggregation function : fmin\n",
" \tOR aggregation function : fmax,\n",
" IF (density[low] AND ti[low]) AND al[low] THEN temp[low]\n",
" \tAND aggregation function : fmin\n",
" \tOR aggregation function : fmax,\n",
" IF density[lower] THEN temp[high]\n",
" \tAND aggregation function : fmin\n",
" \tOR aggregation function : fmax,\n",
" IF (density[low] AND ti[low]) AND al[high] THEN temp[high]\n",
" \tAND aggregation function : fmin\n",
" \tOR aggregation function : fmax,\n",
" IF density[low] AND ti[high] THEN temp[higher]\n",
" \tAND aggregation function : fmin\n",
" \tOR aggregation function : fmax,\n",
" IF density[low] AND al[low] THEN temp[lower]\n",
" \tAND aggregation function : fmin\n",
" \tOR aggregation function : fmax,\n",
" IF density[average] THEN temp[higher]\n",
" \tAND aggregation function : fmin\n",
" \tOR aggregation function : fmax,\n",
" IF density[average] AND al[low] THEN temp[higher]\n",
" \tAND aggregation function : fmin\n",
" \tOR aggregation function : fmax,\n",
" IF density[average] AND al[high] THEN temp[average]\n",
" \tAND aggregation function : fmin\n",
" \tOR aggregation function : fmax,\n",
" IF density[higher] AND al[low] THEN temp[low]\n",
" \tAND aggregation function : fmin\n",
" \tOR aggregation function : fmax,\n",
" IF density[higher] AND al[high] THEN temp[lower]\n",
" \tAND aggregation function : fmin\n",
" \tOR aggregation function : fmax]"
]
},
"execution_count": 125,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from src.rules import get_fuzzy_rules\n",
"\n",
"fuzzy_variables = {\"Al2O3\": al, \"TiO2\": ti, \"Density\": density, \"consequent\": temp}\n",
"fuzzy_rules = get_fuzzy_rules(rules, fuzzy_variables)\n",
"fuzzy_rules.remove(fuzzy_rules[5])\n",
"\n",
"fuzzy_cntrl = ctrl.ControlSystem(fuzzy_rules)\n",
"\n",
"sim = ctrl.ControlSystemSimulation(fuzzy_cntrl, lenient=False)\n",
"\n",
"display(len(fuzzy_rules))\n",
"fuzzy_rules"
]
},
{
"cell_type": "code",
"execution_count": 126,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"=============\n",
" Antecedents \n",
"=============\n",
"Antecedent: density = 1.0569013636039\n",
" - lower : 0.43065897134597164\n",
" - low : 0.5693410286540264\n",
" - average : 0.0\n",
" - high : 0.0\n",
" - higher : 0.0\n",
"Antecedent: al = 0.0\n",
" - low : 1.0\n",
" - average : 0.0\n",
" - high : 0.0\n",
"Antecedent: ti = 0.0\n",
" - low : 1.0\n",
" - average : 0.0\n",
" - high : 0.0\n",
"\n",
"=======\n",
" Rules \n",
"=======\n",
"RULE #0:\n",
" IF density[low] AND al[high] THEN temp[lower]\n",
"\tAND aggregation function : fmin\n",
"\tOR aggregation function : fmax\n",
"\n",
" Aggregation (IF-clause):\n",
" - density[low] : 0.5693410286540264\n",
" - al[high] : 0.0\n",
" density[low] AND al[high] = 0.0\n",
" Activation (THEN-clause):\n",
" temp[lower] : 0.0\n",
"\n",
"RULE #1:\n",
" IF (density[low] AND ti[low]) AND al[low] THEN temp[low]\n",
"\tAND aggregation function : fmin\n",
"\tOR aggregation function : fmax\n",
"\n",
" Aggregation (IF-clause):\n",
" - density[low] : 0.5693410286540264\n",
" - ti[low] : 1.0\n",
" - al[low] : 1.0\n",
" (density[low] AND ti[low]) AND al[low] = 0.5693410286540264\n",
" Activation (THEN-clause):\n",
" temp[low] : 0.5693410286540264\n",
"\n",
"RULE #2:\n",
" IF density[lower] THEN temp[high]\n",
"\tAND aggregation function : fmin\n",
"\tOR aggregation function : fmax\n",
"\n",
" Aggregation (IF-clause):\n",
" - density[lower] : 0.43065897134597164\n",
" density[lower] = 0.43065897134597164\n",
" Activation (THEN-clause):\n",
" temp[high] : 0.43065897134597164\n",
"\n",
"RULE #3:\n",
" IF (density[low] AND ti[low]) AND al[high] THEN temp[high]\n",
"\tAND aggregation function : fmin\n",
"\tOR aggregation function : fmax\n",
"\n",
" Aggregation (IF-clause):\n",
" - density[low] : 0.5693410286540264\n",
" - ti[low] : 1.0\n",
" - al[high] : 0.0\n",
" (density[low] AND ti[low]) AND al[high] = 0.0\n",
" Activation (THEN-clause):\n",
" temp[high] : 0.0\n",
"\n",
"RULE #4:\n",
" IF density[low] AND ti[high] THEN temp[higher]\n",
"\tAND aggregation function : fmin\n",
"\tOR aggregation function : fmax\n",
"\n",
" Aggregation (IF-clause):\n",
" - density[low] : 0.5693410286540264\n",
" - ti[high] : 0.0\n",
" density[low] AND ti[high] = 0.0\n",
" Activation (THEN-clause):\n",
" temp[higher] : 0.0\n",
"\n",
"RULE #5:\n",
" IF density[low] AND al[low] THEN temp[lower]\n",
"\tAND aggregation function : fmin\n",
"\tOR aggregation function : fmax\n",
"\n",
" Aggregation (IF-clause):\n",
" - density[low] : 0.5693410286540264\n",
" - al[low] : 1.0\n",
" density[low] AND al[low] = 0.5693410286540264\n",
" Activation (THEN-clause):\n",
" temp[lower] : 0.5693410286540264\n",
"\n",
"RULE #6:\n",
" IF density[average] THEN temp[higher]\n",
"\tAND aggregation function : fmin\n",
"\tOR aggregation function : fmax\n",
"\n",
" Aggregation (IF-clause):\n",
" - density[average] : 0.0\n",
" density[average] = 0.0\n",
" Activation (THEN-clause):\n",
" temp[higher] : 0.0\n",
"\n",
"RULE #7:\n",
" IF density[average] AND al[low] THEN temp[higher]\n",
"\tAND aggregation function : fmin\n",
"\tOR aggregation function : fmax\n",
"\n",
" Aggregation (IF-clause):\n",
" - density[average] : 0.0\n",
" - al[low] : 1.0\n",
" density[average] AND al[low] = 0.0\n",
" Activation (THEN-clause):\n",
" temp[higher] : 0.0\n",
"\n",
"RULE #8:\n",
" IF density[average] AND al[high] THEN temp[average]\n",
"\tAND aggregation function : fmin\n",
"\tOR aggregation function : fmax\n",
"\n",
" Aggregation (IF-clause):\n",
" - density[average] : 0.0\n",
" - al[high] : 0.0\n",
" density[average] AND al[high] = 0.0\n",
" Activation (THEN-clause):\n",
" temp[average] : 0.0\n",
"\n",
"RULE #9:\n",
" IF density[higher] AND al[low] THEN temp[low]\n",
"\tAND aggregation function : fmin\n",
"\tOR aggregation function : fmax\n",
"\n",
" Aggregation (IF-clause):\n",
" - density[higher] : 0.0\n",
" - al[low] : 1.0\n",
" density[higher] AND al[low] = 0.0\n",
" Activation (THEN-clause):\n",
" temp[low] : 0.0\n",
"\n",
"RULE #10:\n",
" IF density[higher] AND al[high] THEN temp[lower]\n",
"\tAND aggregation function : fmin\n",
"\tOR aggregation function : fmax\n",
"\n",
" Aggregation (IF-clause):\n",
" - density[higher] : 0.0\n",
" - al[high] : 0.0\n",
" density[higher] AND al[high] = 0.0\n",
" Activation (THEN-clause):\n",
" temp[lower] : 0.0\n",
"\n",
"\n",
"==============================\n",
" Intermediaries and Conquests \n",
"==============================\n",
"Consequent: temp = 41.73310616908626\n",
" lower:\n",
" Accumulate using accumulation_max : 0.5693410286540264\n",
" low:\n",
" Accumulate using accumulation_max : 0.5693410286540264\n",
" average:\n",
" Accumulate using accumulation_max : 0.0\n",
" high:\n",
" Accumulate using accumulation_max : 0.43065897134597164\n",
" higher:\n",
" Accumulate using accumulation_max : 0.0\n",
"\n"
]
},
{
"data": {
"text/plain": [
"np.float64(41.73310616908626)"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sim.input[\"al\"] = 0.0\n",
"sim.input[\"ti\"] = 0.0\n",
"sim.input[\"density\"] = 1.0569013636039\n",
"sim.compute()\n",
"sim.print_state()\n",
"display(sim.output[\"temp\"])\n",
"temp.view(sim=sim)"
]
},
{
"cell_type": "code",
"execution_count": 127,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" T | \n",
" Al2O3 | \n",
" TiO2 | \n",
" Density | \n",
" Real | \n",
" Inferred | \n",
" RMSE | \n",
"
\n",
" \n",
" \n",
" \n",
" 0 | \n",
" 20 | \n",
" 0.00 | \n",
" 0.0 | \n",
" 1.06250 | \n",
" 20 | \n",
" 39.276564 | \n",
" 19.277 | \n",
"
\n",
" \n",
" 1 | \n",
" 25 | \n",
" 0.00 | \n",
" 0.0 | \n",
" 1.05979 | \n",
" 25 | \n",
" 40.474182 | \n",
" 15.474 | \n",
"
\n",
" \n",
" 2 | \n",
" 35 | \n",
" 0.00 | \n",
" 0.0 | \n",
" 1.05404 | \n",
" 35 | \n",
" 43.002194 | \n",
" 8.002 | \n",
"
\n",
" \n",
" 3 | \n",
" 40 | \n",
" 0.00 | \n",
" 0.0 | \n",
" 1.05103 | \n",
" 40 | \n",
" 44.373956 | \n",
" 4.374 | \n",
"
\n",
" \n",
" 4 | \n",
" 45 | \n",
" 0.00 | \n",
" 0.0 | \n",
" 1.04794 | \n",
" 45 | \n",
" 45.803674 | \n",
" 0.804 | \n",
"
\n",
" \n",
" 5 | \n",
" 50 | \n",
" 0.00 | \n",
" 0.0 | \n",
" 1.04477 | \n",
" 50 | \n",
" 47.330811 | \n",
" 2.669 | \n",
"
\n",
" \n",
" 6 | \n",
" 60 | \n",
" 0.00 | \n",
" 0.0 | \n",
" 1.03826 | \n",
" 60 | \n",
" 50.888953 | \n",
" 9.111 | \n",
"
\n",
" \n",
" 7 | \n",
" 65 | \n",
" 0.00 | \n",
" 0.0 | \n",
" 1.03484 | \n",
" 65 | \n",
" 53.183324 | \n",
" 11.817 | \n",
"
\n",
" \n",
" 8 | \n",
" 70 | \n",
" 0.00 | \n",
" 0.0 | \n",
" 1.03182 | \n",
" 70 | \n",
" 55.645272 | \n",
" 14.355 | \n",
"
\n",
" \n",
" 9 | \n",
" 20 | \n",
" 0.05 | \n",
" 0.0 | \n",
" 1.08755 | \n",
" 20 | \n",
" 37.043626 | \n",
" 17.044 | \n",
"
\n",
" \n",
" 10 | \n",
" 45 | \n",
" 0.05 | \n",
" 0.0 | \n",
" 1.07105 | \n",
" 45 | \n",
" 36.776662 | \n",
" 8.223 | \n",
"
\n",
" \n",
" 11 | \n",
" 50 | \n",
" 0.05 | \n",
" 0.0 | \n",
" 1.06760 | \n",
" 50 | \n",
" 38.797623 | \n",
" 11.202 | \n",
"
\n",
" \n",
" 12 | \n",
" 55 | \n",
" 0.05 | \n",
" 0.0 | \n",
" 1.06409 | \n",
" 55 | \n",
" 40.347656 | \n",
" 14.652 | \n",
"
\n",
" \n",
" 13 | \n",
" 65 | \n",
" 0.05 | \n",
" 0.0 | \n",
" 1.05691 | \n",
" 65 | \n",
" 42.508159 | \n",
" 22.492 | \n",
"
\n",
" \n",
" 14 | \n",
" 70 | \n",
" 0.05 | \n",
" 0.0 | \n",
" 1.05291 | \n",
" 70 | \n",
" 43.516405 | \n",
" 26.484 | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" T Al2O3 TiO2 Density Real Inferred RMSE\n",
"0 20 0.00 0.0 1.06250 20 39.276564 19.277\n",
"1 25 0.00 0.0 1.05979 25 40.474182 15.474\n",
"2 35 0.00 0.0 1.05404 35 43.002194 8.002\n",
"3 40 0.00 0.0 1.05103 40 44.373956 4.374\n",
"4 45 0.00 0.0 1.04794 45 45.803674 0.804\n",
"5 50 0.00 0.0 1.04477 50 47.330811 2.669\n",
"6 60 0.00 0.0 1.03826 60 50.888953 9.111\n",
"7 65 0.00 0.0 1.03484 65 53.183324 11.817\n",
"8 70 0.00 0.0 1.03182 70 55.645272 14.355\n",
"9 20 0.05 0.0 1.08755 20 37.043626 17.044\n",
"10 45 0.05 0.0 1.07105 45 36.776662 8.223\n",
"11 50 0.05 0.0 1.06760 50 38.797623 11.202\n",
"12 55 0.05 0.0 1.06409 55 40.347656 14.652\n",
"13 65 0.05 0.0 1.05691 65 42.508159 22.492\n",
"14 70 0.05 0.0 1.05291 70 43.516405 26.484"
]
},
"execution_count": 127,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from sklearn import metrics\n",
"import math\n",
"\n",
"\n",
"def fuzzy_pred(row):\n",
" sim.input[\"al\"] = row[\"Al2O3\"]\n",
" sim.input[\"ti\"] = row[\"TiO2\"]\n",
" sim.input[\"density\"] = row[\"Density\"]\n",
" sim.compute()\n",
" return sim.output[\"temp\"]\n",
"\n",
"\n",
"def rmse(row):\n",
" return math.sqrt(metrics.mean_squared_error([row[\"Real\"]], [row[\"Inferred\"]]))\n",
"\n",
"\n",
"result_train = train.copy()\n",
"result_train[\"Real\"] = result_train[\"T\"]\n",
"result_train[\"Inferred\"] = result_train.apply(fuzzy_pred, axis=1)\n",
"result_train[\"RMSE\"] = result_train.apply(rmse, axis=1)\n",
"result_train = result_train.round({\"RMSE\": 3})\n",
"result_train.head(15)"
]
},
{
"cell_type": "code",
"execution_count": 128,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" T | \n",
" Al2O3 | \n",
" TiO2 | \n",
" Density | \n",
" Real | \n",
" Inferred | \n",
" RMSE | \n",
"
\n",
" \n",
" \n",
" \n",
" 0 | \n",
" 30 | \n",
" 0.00 | \n",
" 0.00 | \n",
" 1.05696 | \n",
" 30 | \n",
" 41.707469 | \n",
" 11.707 | \n",
"
\n",
" \n",
" 1 | \n",
" 55 | \n",
" 0.00 | \n",
" 0.00 | \n",
" 1.04158 | \n",
" 55 | \n",
" 48.979472 | \n",
" 6.021 | \n",
"
\n",
" \n",
" 2 | \n",
" 25 | \n",
" 0.05 | \n",
" 0.00 | \n",
" 1.08438 | \n",
" 25 | \n",
" 35.546123 | \n",
" 10.546 | \n",
"
\n",
" \n",
" 3 | \n",
" 30 | \n",
" 0.05 | \n",
" 0.00 | \n",
" 1.08112 | \n",
" 30 | \n",
" 33.702339 | \n",
" 3.702 | \n",
"
\n",
" \n",
" 4 | \n",
" 35 | \n",
" 0.05 | \n",
" 0.00 | \n",
" 1.07781 | \n",
" 35 | \n",
" 31.483248 | \n",
" 3.517 | \n",
"
\n",
" \n",
" 5 | \n",
" 40 | \n",
" 0.05 | \n",
" 0.00 | \n",
" 1.07446 | \n",
" 40 | \n",
" 34.051564 | \n",
" 5.948 | \n",
"
\n",
" \n",
" 6 | \n",
" 60 | \n",
" 0.05 | \n",
" 0.00 | \n",
" 1.06053 | \n",
" 60 | \n",
" 41.554965 | \n",
" 18.445 | \n",
"
\n",
" \n",
" 7 | \n",
" 35 | \n",
" 0.30 | \n",
" 0.00 | \n",
" 1.17459 | \n",
" 35 | \n",
" 26.052643 | \n",
" 8.947 | \n",
"
\n",
" \n",
" 8 | \n",
" 65 | \n",
" 0.30 | \n",
" 0.00 | \n",
" 1.14812 | \n",
" 65 | \n",
" 51.649578 | \n",
" 13.350 | \n",
"
\n",
" \n",
" 9 | \n",
" 45 | \n",
" 0.00 | \n",
" 0.05 | \n",
" 1.07424 | \n",
" 45 | \n",
" 32.924090 | \n",
" 12.076 | \n",
"
\n",
" \n",
" 10 | \n",
" 50 | \n",
" 0.00 | \n",
" 0.05 | \n",
" 1.07075 | \n",
" 50 | \n",
" 35.608122 | \n",
" 14.392 | \n",
"
\n",
" \n",
" 11 | \n",
" 55 | \n",
" 0.00 | \n",
" 0.05 | \n",
" 1.06721 | \n",
" 55 | \n",
" 37.735219 | \n",
" 17.265 | \n",
"
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" \n",
" 12 | \n",
" 20 | \n",
" 0.00 | \n",
" 0.30 | \n",
" 1.22417 | \n",
" 20 | \n",
" 32.475100 | \n",
" 12.475 | \n",
"
\n",
" \n",
" 13 | \n",
" 30 | \n",
" 0.00 | \n",
" 0.30 | \n",
" 1.21310 | \n",
" 30 | \n",
" 32.475102 | \n",
" 2.475 | \n",
"
\n",
" \n",
" 14 | \n",
" 40 | \n",
" 0.00 | \n",
" 0.30 | \n",
" 1.20265 | \n",
" 40 | \n",
" 32.475114 | \n",
" 7.525 | \n",
"
\n",
" \n",
" 15 | \n",
" 60 | \n",
" 0.00 | \n",
" 0.30 | \n",
" 1.18265 | \n",
" 60 | \n",
" 32.475245 | \n",
" 27.525 | \n",
"
\n",
" \n",
" 16 | \n",
" 70 | \n",
" 0.00 | \n",
" 0.30 | \n",
" 1.17261 | \n",
" 70 | \n",
" 32.477777 | \n",
" 37.522 | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" T Al2O3 TiO2 Density Real Inferred RMSE\n",
"0 30 0.00 0.00 1.05696 30 41.707469 11.707\n",
"1 55 0.00 0.00 1.04158 55 48.979472 6.021\n",
"2 25 0.05 0.00 1.08438 25 35.546123 10.546\n",
"3 30 0.05 0.00 1.08112 30 33.702339 3.702\n",
"4 35 0.05 0.00 1.07781 35 31.483248 3.517\n",
"5 40 0.05 0.00 1.07446 40 34.051564 5.948\n",
"6 60 0.05 0.00 1.06053 60 41.554965 18.445\n",
"7 35 0.30 0.00 1.17459 35 26.052643 8.947\n",
"8 65 0.30 0.00 1.14812 65 51.649578 13.350\n",
"9 45 0.00 0.05 1.07424 45 32.924090 12.076\n",
"10 50 0.00 0.05 1.07075 50 35.608122 14.392\n",
"11 55 0.00 0.05 1.06721 55 37.735219 17.265\n",
"12 20 0.00 0.30 1.22417 20 32.475100 12.475\n",
"13 30 0.00 0.30 1.21310 30 32.475102 2.475\n",
"14 40 0.00 0.30 1.20265 40 32.475114 7.525\n",
"15 60 0.00 0.30 1.18265 60 32.475245 27.525\n",
"16 70 0.00 0.30 1.17261 70 32.477777 37.522"
]
},
"execution_count": 128,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"result_test = test.copy()\n",
"result_test[\"Real\"] = result_test[\"T\"]\n",
"result_test[\"Inferred\"] = result_test.apply(fuzzy_pred, axis=1)\n",
"result_test[\"RMSE\"] = result_test.apply(rmse, axis=1)\n",
"result_test = result_test.round({\"RMSE\": 3})\n",
"result_test"
]
},
{
"cell_type": "code",
"execution_count": 132,
"metadata": {},
"outputs": [
{
"data": {
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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.pyplot as plt\n",
"\n",
"result_test.hist(bins=30, figsize=(10, 10))\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 130,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'RMSE_train': 14.558276689668899,\n",
" 'RMSE_test': 15.299814000482547,\n",
" 'RMAE_test': 3.543337541765307,\n",
" 'R2_test': -0.09732952379343951}"
]
},
"execution_count": 130,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"rmetrics = {}\n",
"rmetrics[\"RMSE_train\"] = math.sqrt(\n",
" metrics.mean_squared_error(result_train[\"Real\"], result_train[\"Inferred\"])\n",
")\n",
"rmetrics[\"RMSE_test\"] = math.sqrt(\n",
" metrics.mean_squared_error(result_test[\"Real\"], result_test[\"Inferred\"])\n",
")\n",
"rmetrics[\"RMAE_test\"] = math.sqrt(\n",
" metrics.mean_absolute_error(result_test[\"Real\"], result_test[\"Inferred\"])\n",
")\n",
"rmetrics[\"R2_test\"] = metrics.r2_score(result_test[\"Real\"], result_test[\"Inferred\"])\n",
"\n",
"rmetrics"
]
}
],
"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": "3.12.9"
}
},
"nbformat": 4,
"nbformat_minor": 2
}