Metadata-Version: 2.4
Name: topsis-sayyam-102303147
Version: 0.1.0
Summary: A command-line Python package implementing the TOPSIS method for multi-criteria decision making.
Home-page: https://github.com/Sayyam-wad/topsis-sayyam-102303147
Author: Sayyam Wadhwa
Author-email: sayyam.wad@gmail.com
License: MIT
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Education
Classifier: Topic :: Scientific/Engineering
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: pandas
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: license
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# topsis-sayyam-102303147

## TOPSIS Implementation in Python

This package provides a Python implementation of the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method for multi-criteria decision making.

It offers a command-line interface (CLI) to evaluate and rank alternatives based on weighted criteria and their positive or negative impacts.

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## What is TOPSIS?

TOPSIS is a multi-criteria decision-making technique that ranks alternatives based on their relative closeness to the ideal best and ideal worst solutions.

The alternative with the highest TOPSIS score is considered the best choice.

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## Features

- Command-line based implementation
- Accepts CSV input files
- Supports user-defined weights and impacts
- Generates TOPSIS score and rank for each alternative
- Robust input validation and error handling

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## User Manual

### Installation
```bash
pip install topsis-sayyam-102303147
