Metadata-Version: 2.1
Name: pyit2fls
Version: 0.6.1
Summary: Interval Type 2 Fuzzy Logic Systems in Python
Home-page: https://github.com/Haghrah/PyIT2FLS
Author: Amir Arslan Haghrah
Author-email: arslan.haghrah@gmail.com
License: GPL-3.0
Description: PyIT2FLS
        ========
        
        <p align="center"><img src="https://raw.githubusercontent.com/Haghrah/PyIT2FLS/master/PyIT2FLS_icon.png" width="256"/></p>
        
        NumPy and SciPy based toolkit for Type 1 and Interval Type 2 Fuzzy Logic Systems simulation.
        
        ## Licence
        PyIT2FLS is published under MIT license. If you are using the developed toolkit, please cite preprint of our paper [PyIT2FLS: A New Python Toolkit for Interval Type 2 Fuzzy Logic Systems](https://arxiv.org/abs/1909.10051).
        
        BibTeX:
        
            @misc{haghrah2019pyit2fls,
                title={PyIT2FLS: A New Python Toolkit for Interval Type 2 Fuzzy Logic Systems},
                author={Amir Arslan Haghrah and Sehraneh Ghaemi},
                year={2019},
                eprint={1909.10051},
                archivePrefix={arXiv},
                primaryClass={eess.SY}
            }
        
        MLA:
        
            Haghrah, Amir Arslan, and Sehraneh Ghaemi. "PyIT2FLS: A New Python Toolkit for Interval Type 2 Fuzzy Logic Systems." arXiv preprint arXiv:1909.10051 (2019).
        
        ## Installation
        PyIT2FLS can be installed by unzipping the source code in a directory and using this command:
        
            (sudo) python3 setup.py install
        
        Or you can use pip3:
        
            (sudo) pip3 install --upgrade pyit2fls
        
        ## Versions
        
        ### Features coming up in the next version
        - [ ] Supporting Generalized Type 2 Fuzzy Sets and Systems.
        - [ ] Speeding up the codes using the Python/C API.
        
        ### Some notes on version 0.6.1
        - [x] Some bugs are fixed in this version.
        
        ### Some notes on version 0.6
        - [x] Supporting Type 1 Fuzzy Sets and Systems.
        - [x] Supporting elliptic and semi-elliptic membership functions.
        - [x] Supporting generalized bell shaped membership function.
        - [x] Supporting many new t-norms and s-norms.
        - [x] Some bugs are fixed in this version.
        
        ### Some notes on version 0.5
        - [x] Supporting both Mamdani and TSK systems.
        - [x] Some bugs are fixed in this vesion. Now it is possible to use different domains for FLS inputs and outputs.
        
        ### Some notes on version 0.4
        - [x] Some bugs have been fixed in this version especially in type reduction algorithms. I would like to say thanks to Dr. K.B Badri Narayanan for reporting the errors.
        - [x] Some new IT2FSs are added to the toolkit.
        - [x] In previous versions, the height of the IT2FS_Gaussian_UncertStd and IT2FS_Gaussian_UncertMean IT2FSs was fixed to 1, by default. But in the new version, user must give the height value in the parameters list as the last element.
        
        ## Docstrings
        Further information about functions and classes in the PyIT2FLS are accessible by docstrings. After importing a function or class, they can be seen by calling the help function. For example:
        
        ```python
        >>> from pyit2fls import IT2FS_Gaussian_UncertStd
        >>> help(IT2FS_Gaussian_UncertStd)
        ```
        
        ## Examples
        There are some examples provided along with the toolkit which are as below:
        * [Ex1](https://github.com/Haghrah/PyIT2FLS/blob/master/examples/ex_1.py): Defining an Interval Type 2 Fuzzy Set (IT2FS).
        * [Ex2](https://github.com/Haghrah/PyIT2FLS/blob/master/examples/ex_2.py): Application of join and meet operators and plotting the outputs.
        * [Ex3](https://github.com/Haghrah/PyIT2FLS/blob/master/examples/ex_3.py): Defining a simple (MIMO) IT2FLS.
        * [Ex4](https://github.com/Haghrah/PyIT2FLS/blob/master/examples/ex_4.py): Prediction of the Mackey-Glass chaotic time series with PSO-based parameter tuning.
        * [Ex5](https://github.com/Haghrah/PyIT2FLS/blob/master/examples/ex_5.py): Designing Interval Type 2 Fuzzy PID (IT2FPID) controller for a time-delay linear system.
        * [Ex6](https://github.com/Haghrah/PyIT2FLS/blob/master/examples/ex_6.py): Creating and plotting ten types of interval type two fuzzy sets. **(PyIT2FLS v0.4.0 and upper)**
        * [Ex7](https://github.com/Haghrah/PyIT2FLS/blob/master/examples/ex_7.py): Similar to Ex3 but implemented using the new Mamdani class. **(PyIT2FLS v0.5.0 and upper)**
        * [Ex8](https://github.com/Haghrah/PyIT2FLS/blob/master/examples/ex_8.py): Defining a simple multi-input multi-output IT2 TSK FLS. **(PyIT2FLS v0.5.0 and upper)**
        * [Ex9](https://github.com/Haghrah/PyIT2FLS/blob/master/examples/ex_9.py): Defining a multi-input multi-output IT2 TSK FLS and plotting the 3D resulting output planes. **(PyIT2FLS v0.5.0 and upper)**
        * [Ex10](https://github.com/Haghrah/PyIT2FLS/blob/master/examples/ex_10.py): Defining a multi-input multi-output IT2FLS with different domains for each of input and output variables, and plotting the output surfaces of the system. **(PyIT2FLS v0.5.0 and upper)**
        * [Ex11](https://github.com/Haghrah/PyIT2FLS/blob/master/examples/ex_11.py): Generating random rule-bases. **(PyIT2FLS v0.5.0 and upper)**
        * [Ex12](https://github.com/Haghrah/PyIT2FLS/blob/master/examples/ex_12.py): Using six different t-norms with meet operator. **(PyIT2FLS v0.6.0 and upper)**
        * [Ex13](https://github.com/Haghrah/PyIT2FLS/blob/master/examples/ex_13.py): Using six different s-norms with join operator. **(PyIT2FLS v0.6.0 and upper)**
        * [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)**
        * [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)**
        
        
        
Platform: UNKNOWN
Requires-Python: >=3.6
Description-Content-Type: text/markdown
