Topsis-JaspreetSingh-102303163 0.3

TOPSIS implementation using command line

🧮 Topsis-JaspreetSingh-102303163

A simple and powerful Python implementation of the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method that runs directly from the command line after installation.

This package allows users to rank alternatives based on multiple criteria using weights and impacts — without writing any code.

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🚀 Features

• Works directly from command line
• Reads any CSV file with numeric criteria
• Accepts custom weights and impacts
• Calculates Topsis Score and Rank
• Generates output CSV automatically
• Easy to install using pip

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📦 Installation

pip install Topsis-JaspreetSingh-102303163

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▶️ How to Use

After installation, simply run:

topsis data.csv "1,1,1,2" "+,+,-,+" result.csv

Arguments Explained

Argument	Description
data.csv	Input CSV file
"1,1,1,2"	Weights for each numeric column
"+,+,-,+"	Impacts (+ for benefit, - for cost)
result.csv	Output file with Topsis Score and Rank

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📄 Input CSV Format

• First column: Alternative names (non-numeric)
• Remaining columns: Numeric criteria values

Example:

Model	Price	Mileage	Safety	Comfort
A	25000	18	7	8
B	27000	15	9	6

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📤 Output

The output CSV will contain two extra columns:

• Topsis Score
• Rank

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🧠 About TOPSIS

TOPSIS is a multi-criteria decision-making method that identifies solutions closest to the ideal and farthest from the worst case.

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👨‍💻 Author

Jaspreet Singh
Roll No: 102303163

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🌐 Project Links

• PyPI: https://pypi.org/project/Topsis-JaspreetSingh-102303163/
• GitHub: https://github.com/JaspreetSingh33