Topsis-Vikas-102303451 1.0.1

A Python package for TOPSIS implementation

TOPSIS-Vikas-102303451

Project Description

TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) is a multi-criteria decision analysis method. It evaluates alternatives based on their geometric distance to the ideal best value and the ideal worst value.

This project implements TOPSIS in Python and provides three interfaces:

1. Command Line Interface (CLI): For quick local usage.
2. Python Package: Reusable library for your scripts.
3. Web Service: A user-friendly web app to upload data and get results via email.

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Live Web Service

The web application is deployed and accessible at:

https://topsis-vikas-102303451.vercel.app

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Installation & Usage

1. Python Package

Install from PyPi:

pip install Topsis-Vikas-102303451

Use in your code:

from topsis_vikas import topsis

# topsis(input_file, weights, impacts, output_file)
topsis("data.csv", "1,1,1,1", "+,+,+,-", "output.csv")

2. Command Line Interface

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

• Weights: Comma-separated (e.g., 1,1,1,1)
• Impacts: Comma-separated + or - (e.g., +,+,+,-)
• Input File: Must contain numeric values from 2nd to last column.

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How TOPSIS Works

1. Normalization: Normalize the decision matrix so that each criterion is comparable.
2. Weighting: Multiply the normalized matrix by the weights of each criterion.
3. Ideal Best & Worst: Identify the ideal best and ideal worst values for each column.
4. Separation Measures: Calculate Euclidean distance of each alternative from the ideal best and worst.
5. Score Calculation: Calculate the performance score.
6. Ranking: Sort alternatives by score in descending order.

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Author

Vikas Verma

• Roll Number: 102303451
• Email: [e-mail]
• GitHub: vikasverma

Constructed with ❤️ for the Thapar Institute of Engineering & Technology.