pyit2fls 0.4

Interval Type 2 Fuzzy Logic Systems in Python

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.

@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