Metadata-Version: 2.4
Name: Topsis-Suhani-102313038
Version: 1.0.1
Summary: TOPSIS implementation for multi-criteria decision making
Author: Suhani Gupta
Author-email: suhani.work04@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pandas
Requires-Dist: numpy
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: license-file
Dynamic: requires-dist
Dynamic: summary

# Topsis-Suhani-102313038

## Description
This package implements the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for multi-criteria decision making.

## Installation
```bash
pip install Topsis-Suhani-102313038
```

## Usage
Enter csv file name with .csv extension, then enter weights (comma separated), followed by impacts '+' or '-' (comma separated), and csv file where result is to be stored.
```bash
python -m topsis_suhani_102313038.topsis input.csv "1,1,1,1" "+,-,+,+" output.csv
```

## Input Format
- CSV file with alternatives and criteria
- Weights must be comma-separated
- Impacts must be + or -

  ## Output
  - Topsis Score
  - Ranking

## License 
This project is licensed under the **MIT License**.
[License](../LICENSE)
