Metadata-Version: 2.1
Name: EasyMCDM
Version: 0.1.4
Summary: A easy to use Multi-Criteria Decision-Making (MCDM) toolkit which propose implementations for Electre, Promethee and much more.
Home-page: https://EasyMCDM.github.io/
Author: Yanis Labrak & Others
Author-email: yanis.labrak@univ-avignon.fr
License: UNKNOWN
Description: 
        
        [![PyPI version](https://badge.fury.io/py/EasyMCDM.svg)](https://badge.fury.io/py/EasyMCDM)
        [![GitHub Issues](https://img.shields.io/github/issues/qanastek/EasyMCDM.svg)](https://github.com/qanastek/EasyMCDM/issues)
        [![Contributions welcome](https://img.shields.io/badge/contributions-welcome-brightgreen.svg)](CONTRIBUTING.md)
        [![License: MIT](https://img.shields.io/badge/License-MIT-brightgreen.svg)](https://opensource.org/licenses/MIT)
        <!-- [![Downloads](https://static.pepy.tech/personalized-badge/EasyMCDM?period=total&units=international_system&left_color=grey&right_color=orange&left_text=Downloads)](https://pepy.tech/project/EasyMCDM) -->
        
        # Quick installation
        
        ## Anaconda setup
        
        ```bash
        conda create --name EasyMCDM python=3.6 -y
        conda activate EasyMCDM
        ```
        
        More information on managing environments with Anaconda can be found in [the conda cheat sheet](https://docs.conda.io/projects/conda/en/4.6.0/_downloads/52a95608c49671267e40c689e0bc00ca/conda-cheatsheet.pdf).
        
        ## Install via PyPI
        
        Once you have created your Python environment (Python 3.6+) you can simply type:
        
        ```bash
        pip install EasyMCDM
        ```
        
        ## Install with GitHub
        
        Once you have created your Python environment (Python 3.6+) you can simply type:
        
        ```bash
        git clone https://github.com/qanastek/EasyMCDM.git
        cd EasyMCDM
        pip install -r requirements.txt
        pip install --editable .
        ```
        
        Any modification made to the `EasyMCDM` package will be automatically interpreted as we installed it with the `--editable` flag.
        
        # Try It
        
        ```python
        data = pd.read_csv('tests/data/donnees.csv', header=None).to_numpy()
        # or
        data = {
          "alfa_156": [23817.0, 201.0, 8.0, 39.6, 6.0, 378.0, 31.2],
          "audi_a4": [25771.0, 195.0, 5.7, 35.8, 7.0, 440.0, 33.0],
          "cit_xantia": [25496.0, 195.0, 7.9, 37.0, 2.0, 480.0, 34.0]
        }
        weights = [0.14,0.14,0.14,0.14,0.14,0.14,0.14]
        prefs = ["min","max","min","min","min","max","min"]
        
        p = Promethee(verbose=False)
        res = p.solve(data=data, weights=weights, prefs=prefs)
        print(res)
        ```
        
        Data in `tests/data/donnees.csv` :
        
        ```csv
        alfa_156,23817,201,8,39.6,6,378,31.2
        audi_a4,25771,195,5.7,35.8,7,440,33
        cit_xantia,25496,195,7.9,37,2,480,34
        ```
        
        # Build PyPi package
        
        Build: `python setup.py sdist bdist_wheel`
        
        Upload: `twine upload dist/*`
        
        # Citation
        
        If you want to cite the tool you can use this:
        
        ```bibtex
        @misc{EasyMCDM,
          title={EasyMCDM},
          author={Yanis Labrak},
          publisher={GitHub},
          journal={GitHub repository},
          howpublished={\url{https://github.com/qanastek/EasyMCDM}},
          year={2022}
        }
        ```
        
Keywords: python,MCDM,toolkit,easy,Multiple-criteria decision analysis,Multi-Criteria Decision-Making,methods,Multi-Criteria Decision-Making (MCDM)
Platform: UNKNOWN
Requires-Python: >=3.6
Description-Content-Type: text/markdown
