Metadata-Version: 2.1
Name: Topsis-Sirisha-102103715
Version: 1.0.0
Summary: TOPSIS implementation by Sirisha Singla
Home-page: https://github.com/sirishasingla/Topsis
Author: Sirisha Singla
Author-email: sirishasingla1729@gmail.com
License: MIT
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Description-Content-Type: text/markdown
License-File: LICENCE
Requires-Dist: numpy
Requires-Dist: pandas

# Topsis Package
Made by Sirisha Singla (Roll Number - 102103715)

## Inroduction
Topsis is a Python package that provides an implementation of the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. TOPSIS is a multi-criteria decision-making method that helps in selecting the best alternative from a set of alternatives based on their proximity to the ideal solution.

## Installation
pip install Topsis-Sirisha-102103715  

## Usage 
Type the following command to run the package    

python Topsis.py 102103715-data.xlsx "1,1,1,1,1" "+,+,-,+,+" result.csv  

Topsis.py : This is the name of the Python script file that you want to run.  
102103715-data.xlsx: This is the input data file in Excel format (xlsx). It contains the data on which the Topsis analysis will be performed.   
"1,1,1,1,1": These are the weights assigned to each column in the dataset.   
"+,+,-,+,+": These are the impacts corresponding to each criterion.The impacts are +,+,+,-,+. The impact '+' indicates that the criterion is beneficial, and '-' indicates that the criterion is non-beneficial.     
result.csv: This is the name of the output CSV file where the results of the Topsis analysis will be saved.     

## License
Â© 2024 Sirisha Singla   

This repository is licensed under the MIT license. See LICENSE for details.
