Metadata-Version: 2.2
Name: 102203201-simrat
Version: 1.0.0
Summary: It gives the topsis analysis of your csv file with score and rankings.
Home-page: https://github.com/simratk05/topsis_py_package_simrat
Author: Simrat Kaur
Author-email: simrat.kms@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
Classifier: Programming Language :: Python :: 3.12
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: pandas
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: license
Dynamic: requires-dist
Dynamic: summary

# TOPSIS-Package Simrat(102203201)

Overview
TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) is a multi-criteria decision-making (MCDM) technique. This Python package helps you evaluate alternatives based on multiple criteria by calculating the TOPSIS score and ranking them accordingly.

With this package, you can:

1. Input your dataset in CSV format.
2. Specify weights for each criterion.
3. Define whether each criterion is beneficial (+) or non-beneficial (-).
4. Obtain a ranked CSV file as output with TOPSIS scores.

# Installation

Install the package using
` pip install 102203201-simrat`

# Input Parameters

1. Input CSV File: Path to your dataset in CSV format.
   The dataset must have at least three columns:
   The first column should contain the names of the alternatives.
   The subsequent columns should contain numeric values for criteria.
2. Weights: Comma-separated numeric values representing the weight of each criterion.
3. Impacts: Comma-separated values (+ or -) indicating whether each criterion is beneficial (+) or non-beneficial (-).
4. Output CSV File Name: Desired file name for the output CSV containing TOPSIS scores and rankings.

## License

Copyright (c) 2024 Simrat Kaur

This package is licensed under the MIT License.
