Metadata-Version: 2.1
Name: topsis-taanisha-10210323
Version: 1.1.2
Summary: TOPSIS implementation by Divyam Malik
Home-page: https://github.com/taanisha/topsis-taanisha-102103123
Author: Taanisha Agarwal
Author-email: taanisha777@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: LICENSE
Requires-Dist: numpy
Requires-Dist: pandas

# Topsis Python Package

Made By
Taanisha Agarwal(Roll No. 102103123)

## Description

The Topsis Python Package is a Python library 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 used to determine the best alternative among a set of alternatives based on their performance on multiple criteria.


<h2 id="usage">Usage</h2>

<p>
    Use the following command to perform TOPSIS analysis on a dataset:
</p>

<code>topsis data.csv "1,0,1,0,1" "+,-,+,-,+"</code>

<p>
    - <code>data.csv</code>: Path to the input CSV file containing the dataset.<br>
    - <code>"1,0,1,0,1"</code>: Weights for each criterion separated by commas.<br>
    - <code>"+,-,+,-,+"</code>: Impacts for each criterion (either <code>+</code> for maximizing or <code>-</code> for minimizing).
</p>

<p>
    The output will be saved in a file named <code>output.csv</code>.
</p>



