Metadata-Version: 2.1
Name: Topsis-Ravinshu-102003156
Version: 1.1.0
Summary: A convenient python package for Topsis rank and score calculation for a given dataset, weights and impacts
Author: Ravinshu Kushwaha
Author-email: rv.kushwaha01@gmail.com
License: MIT
Keywords: python,TOPSIS,MCDM,MCDA,statistics,prescriptive analytics,cli
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Description-Content-Type: text/markdown
License-File: LICENSE

# Topsis-Ravinshu-102003156

Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is a multi-criteria-based decision-making method.
Topsis-Ravinshu-102003156 is a python package used for dealing with Multiple Criteria Decision Making (MCDM) problems.

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install foobar.

```bash
pip install Topsis-Ravinshu-102003156
```

## Usage

Open any command line and type the following command:

```
topsis [data file] [weight] [impact] [output file]
```

Eg. topsis 102003156-data.csv "1,1,1,1,1" "+,+,-,+,+" 102003156-result.csv

## Output

The output file contains columns of input file along with two additional columns having Topsis_score and Rank
