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‎README.md‎

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* [Ex14](https://github.com/Haghrah/PyIT2FLS/blob/master/examples/ex_14.py): MIMO Type 1 Mamdani Fuzzy Logic System. **(PyIT2FLS v0.6.0 and upper)**
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* [Ex15](https://github.com/Haghrah/PyIT2FLS/blob/master/examples/ex_15.py): MIMO Type 1 TSK Fuzzy Logic System. **(PyIT2FLS v0.6.0 and upper)**
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* [Ex16](https://github.com/Haghrah/PyIT2FLS/blob/master/examples/ex_16.py): Using emphasize function for type 1 and interval type 2 fuzzy sets. **(PyIT2FLS v0.7.0 and upper)**
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* [Ex17](https://github.com/Haghrah/PyIT2FLS/blob/master/examples/ex_17.py): Some operators of fuzzy matrices. **(PyIT2FLS v0.7.0 and upper)**
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* [Ex17](https://github.com/Haghrah/PyIT2FLS/blob/master/examples/ex_17.py): Example concerning fuzzy matrices. **(PyIT2FLS v0.7.0 and upper)**
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* [Ex18](https://github.com/Haghrah/PyIT2FLS/blob/master/examples/ex_18.py): Defining random rules and random sets for IT2F classifier with three inputs and one output (Based on the request of one of the users). **(PyIT2FLS v0.7.0 and upper)**
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### Some output plots
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* Ex4:
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<img src="examples/images/4_2.png" width="256"> <img src="examples/images/4_4.png" width="256">
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<img src="https://raw.githubusercontent.com/Haghrah/PyIT2FLS/master/examples/images/4_2.png" width="256"> <img src="https://raw.githubusercontent.com/Haghrah/PyIT2FLS/master/examples/images/4_4.png" width="256">
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* Ex5:
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<img src="examples/images/5_1.png" width="128"> <img src="examples/images/5_2.png" width="128"> <img src="examples/images/5_3.png" width="128"> <img src="examples/images/5_4.png" width="128">
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<img src="https://raw.githubusercontent.com/Haghrah/PyIT2FLS/master/examples/images/5_1.png" width="128"> <img src="https://raw.githubusercontent.com/Haghrah/PyIT2FLS/master/examples/images/5_2.png" width="128"> <img src="https://raw.githubusercontent.com/Haghrah/PyIT2FLS/master/examples/images/5_3.png" width="128"> <img src="https://raw.githubusercontent.com/Haghrah/PyIT2FLS/master/examples/images/5_4.png" width="128">
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* Ex6:
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<img src="examples/images/6_1.png" width="128"> <img src="examples/images/6_2.png" width="128"> <img src="examples/images/6_3.png" width="128"> <img src="examples/images/6_4.png" width="128">
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<img src="https://raw.githubusercontent.com/Haghrah/PyIT2FLS/master/examples/images/6_1.png" width="128"> <img src="https://raw.githubusercontent.com/Haghrah/PyIT2FLS/master/examples/images/6_2.png" width="128"> <img src="https://raw.githubusercontent.com/Haghrah/PyIT2FLS/master/examples/images/6_3.png" width="128"> <img src="https://raw.githubusercontent.com/Haghrah/PyIT2FLS/master/examples/images/6_4.png" width="128">
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<img src="examples/images/6_5.png" width="128"> <img src="examples/images/6_6.png" width="128"> <img src="examples/images/6_7.png" width="128"> <img src="examples/images/6_8.png" width="128">
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<img src="https://raw.githubusercontent.com/Haghrah/PyIT2FLS/master/examples/images/6_5.png" width="128"> <img src="https://raw.githubusercontent.com/Haghrah/PyIT2FLS/master/examples/images/6_6.png" width="128"> <img src="https://raw.githubusercontent.com/Haghrah/PyIT2FLS/master/examples/images/6_7.png" width="128"> <img src="https://raw.githubusercontent.com/Haghrah/PyIT2FLS/master/examples/images/6_8.png" width="128">
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* Ex9:
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<img src="examples/images/9_1.png" width="512">
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<img src="https://raw.githubusercontent.com/Haghrah/PyIT2FLS/master/examples/images/9_1.png" width="512">
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<img src="examples/images/9_2.png" width="512">
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<img src="https://raw.githubusercontent.com/Haghrah/PyIT2FLS/master/examples/images/9_2.png" width="512">
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<img src="examples/images/IT2TSKFLSY1.png" width="256"> <img src="examples/images/IT2TSKFLSY2.png" width="256">
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<img src="https://raw.githubusercontent.com/Haghrah/PyIT2FLS/master/examples/images/IT2TSKFLSY1.png" width="256"> <img src="https://raw.githubusercontent.com/Haghrah/PyIT2FLS/master/examples/images/IT2TSKFLSY2.png" width="256">
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* Ex10:
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<img src="examples/images/10_1.png" width="256"> <img src="examples/images/10_3.png" width="256">
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<img src="https://raw.githubusercontent.com/Haghrah/PyIT2FLS/master/examples/images/10_1.png" width="256"> <img src="https://raw.githubusercontent.com/Haghrah/PyIT2FLS/master/examples/images/10_3.png" width="256">
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<img src="examples/images/10_5.png" width="256"> <img src="examples/images/10_6.png" width="256">
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<img src="https://raw.githubusercontent.com/Haghrah/PyIT2FLS/master/examples/images/10_5.png" width="256"> <img src="https://raw.githubusercontent.com/Haghrah/PyIT2FLS/master/examples/images/10_6.png" width="256">

‎examples/ex_6.py‎

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from pyit2fls import IT2FS, tri_mf, const_mf, rtri_mf, ltri_mf, \
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trapezoid_mf, gaussian_mf, IT2FS_Gaussian_UncertMean, \
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IT2FS_Gaussian_UncertStd, IT2FS_RGaussian_UncertStd, \
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IT2FS_LGaussian_UncertStd, IT2FS_plot
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IT2FS_Gaussian_UncertStd, R_IT2FS_Gaussian_UncertStd, \
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L_IT2FS_Gaussian_UncertStd, IT2FS_plot
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from numpy import linspace
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domain = linspace(0, 1, 1001)
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Gaussian_UncertStd = IT2FS_Gaussian_UncertStd(domain, [0.5, 0.1, 0.05, 0.75])
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Gaussian_UncertStd.plot(legend_text="Gaussian IT2FS with Uncertain Std")
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RGaussian_UncertStd = IT2FS_RGaussian_UncertStd(domain, [0.5, 0.1, 0.05, 0.8])
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RGaussian_UncertStd = R_IT2FS_Gaussian_UncertStd(domain, [0.5, 0.1, 0.05, 0.8])
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RGaussian_UncertStd.plot(legend_text="Right Gaussian IT2FS with Uncertain Std")
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LGaussian_UncertStd = IT2FS_LGaussian_UncertStd(domain, [0.5, 0.1, 0.05, 0.8])
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LGaussian_UncertStd = L_IT2FS_Gaussian_UncertStd(domain, [0.5, 0.1, 0.05, 0.8])
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LGaussian_UncertStd.plot(legend_text="Left Gaussian IT2FS with Uncertain Std")
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‎pyit2fls/pyit2fls.py‎

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rgauss_uncert_std_lmf,
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[params[0], stdl, stdr, params[3]], check_set=check_set)
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R_IT2FS_Gaussian_UncertStd = IT2FS_RGaussian_UncertStd
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def IT2FS_LGaussian_UncertStd(domain, params, check_set=False):
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"""
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Creates a Left Gaussian IT2FS with uncertain standard deviation value.
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[params[0], stdl, stdr, params[3]], check_set=check_set)
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L_IT2FS_Gaussian_UncertStd = IT2FS_LGaussian_UncertStd
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def IT2FS_plot(*sets, title=None, legends=None, filename=None,
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ext="pdf", grid=True, xlabel="Domain", ylabel="Membership degree"):
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"""

‎setup.py‎

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long_description = f.read()
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setup(name='pyit2fls',
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version='0.7.3',
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version='0.7.6',
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description='Type 1 and Interval Type 2 Fuzzy Logic Systems in Python',
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long_description=long_description,
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long_description_content_type='text/markdown',

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