Metadata-Version: 2.1
Name: 102217053-topsis
Version: 1.0.3
Summary: This is a topsis package
Home-page: https://github.com/user/reponame
Download-URL: https://github.com/user/reponame/archive/v_01.tar.gz
Author: Mitul Agarwal
Author-email: mitulagarwal2003@gmail.com
License: MIT
Keywords: topsis
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
Requires-Dist: pandas
Requires-Dist: numpy

# Project Description

## TOPSIS PACKAGE Mitul Agarwal - 102217053

**Roll Number:** 102217053  
**Subgroup:** 3Q25 

The program takes a CSV file containing our data to be ranked, weights and impacts in the form of "+" or "-", separated by commas as inputs and then outputs a resultant CSV file with two additional columns of performance score and ranks.

---

## What is TOPSIS

TOPSIS, Technique of Order Preference Similarity to the Ideal Solution, is a multi-criteria decision analysis method (MCDA).  
It chooses the alternative of the shortest Euclidean distance from the ideal solution and the greatest distance from the negative ideal solution.

---

## Installation

### How to install the TOPSIS package

Using pip install:
```bash
pip install 102217053-topsis


The output will then be saved in a newly created CSV file whose name will be provided in the command line by the user.

## Input File [input.csv]:
Topsis mathematical operations to be performed on the input file which contains a dataset having different fields.

## Weights ["1,1,1"]:
The weights assigned to the different parameters in the dataset should be passed in the argument, separated by commas.

## Impacts ["+,+,-"]:
The impacts are passed to consider which parameters have a positive impact on the decision and which ones have a negative impact. Only `+` and `-` values should be passed and should be separated with `,` only.

## Output File [output.csv]:
This argument is used to pass the path of the result file where we want the rank and performance score to be stored.
