# Project Description
## TOPSIS PACKAGE Mitul Agarwal - 102217053
**Roll Number:** 102217053
**Subgroup:** 3Q23
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.
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