Metadata-Version: 2.2
Name: Topsis-Nitin_Goyal-102203614
Version: 0.1.0
Summary: A Python package for implementing the TOPSIS method
Home-page: https://github.com/goyal786/Topsis-Nitin_goyal-102203614
Author: Nitin Goyal
Author-email: goyalnitin126@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: license.txt
Requires-Dist: pandas
Requires-Dist: numpy
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: requires-dist
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Dynamic: summary

# Topsis-Nitin_Goyal-102203614

This Python library delivers a robust implementation of the TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) algorithm, designed for solving multi-criteria decision-making problems.

Key Features
Standardizes decision matrices for consistency.
Incorporates weights to reflect the relative importance of criteria.
Computes TOPSIS scores and ranks alternatives effectively.
Installation
You can install this package using pip:

bash
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pip install Topsis-YourName-102203614
How to Use
Execute the TOPSIS method by providing:

A CSV file containing the decision matrix.
A set of weights for the criteria.
Positive (+) or negative (-) impacts for each criterion.
Example Command:
bash
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python script.py input_data.csv "1,2,3" "+,-,+,-" output_result.csv
License
This library is distributed under the MIT License. For more details, refer to the license.txt file included in the repository.
