Metadata-Version: 2.2
Name: topsis-ANMOL_BHATT_102217006
Version: 1.0.0
Summary: A Python package for implementing the TOPSIS multi-criteria decision analysis method.
Author: Anmol Bhatt
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: pandas
Dynamic: author
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

# TOPSIS-Python

TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) implementation in Python.

## Description

This package provides a simple implementation of the TOPSIS method for multi-criteria decision-making. It allows users to perform a TOPSIS analysis using a CSV file with criteria values, weights, and impacts.

## Installation

Install the package via pip (after uploading to PyPI):
```bash
pip install topsis-python


Usage

Run from the command line:
python -m topsis <InputDataFile> <Weights> <Impacts> <ResultFileName>

Example:

python -m topsis data.csv "1,2,1,1" "+,+,-,+" result.csv


Example Input File (data.csv)

C1,C2,C3,C4
250,16,12,5
200,16,8,3
300,32,16,4
275,24,10,3

Output (result.csv)

C1,C2,C3,C4,Topsis Score,Rank
250,16,12,5,0.63,2
200,16,8,3,0.37,4
300,32,16,4,0.78,1
275,24,10,3,0.52,3


