Metadata-Version: 2.1
Name: pyit2fls
Version: 0.4
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: MIT
Description: PyIT2FLS
        ========
        NumPy based toolkit for Interval Type 2 Fuzzy Logic Systems (IT2FLS) simulation.
        
        ## Licence
        PyIT2FLS is published under GNU General Public License v3.0. If you are using the developed toolkit, please cite the paper [PyIT2FLS: A New Python Toolkit for Interval Type 2 Fuzzy Logic Systems](https://arxiv.org/abs/1909.10051).
        
            @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}
            }
        
        ## Installation
        PyIT2FLS can be installed by unzipping the source code in one directory and using this command:
        
            (sudo) python3 setup.py install
        
        Or you can use pip3:
        
            (sudo) pip3 install --upgrade pyit2fls
        
        ## Examples
        There are five examples provided over github page along with the toolkit, which are listed as below:
        
        * Ex1: Defining an Interval Type 2 Fuzzy Set (IT2FS)
        
        * Ex2: Application of join and meet operators and plotting the outputs
        
        * Ex3: Defining a simple (MIMO) IT2FLS
        
        * Ex4: Prediction of the Mackey-Glass chaotic time series with PSO-based parameter tuning
        
        * Ex5: Designing Interval Type 2 Fuzzy PID (IT2FPID) controller for a time-delay linear system
        
        
        
        
        
Platform: UNKNOWN
Requires-Python: >=3.6
Description-Content-Type: text/markdown
