topsis-nandini 0.1.7

TOPSIS implementation for multi-criteria decision making

📊 TOPSIS — A Python Package for Multi-Criteria Decision Making

This package implements the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) algorithm — a widely used multi-criteria decision analysis method.

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📌 What is TOPSIS?

TOPSIS is an algorithm that helps in ranking and selecting from a set of alternatives based on multiple criteria.
It is based on the concept that the chosen alternative should have the shortest distance from the ideal solution and the farthest from the negative-ideal solution.

It is especially useful in areas like:

• Decision-making systems
• Recommendation engines
• Business and financial analysis
• Supply chain and logistics

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🚀 Features

• Simple and clean API
• Accepts CSV or pandas DataFrame input
• Supports weighted and normalized decision matrices
• Command-line interface support
• Generates final rankings of alternatives

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📦 Installation

Install the package directly from PyPI:

pip install topsis-nandini==0.1.7

🛠️ Usage

# 1. Command Line Interface
Once installed, you can use `topsis` as a CLI tool:
Topsis-nandini input.csv "0.3,0.5,0.2" "+,+,-" output.csv

This will:
Read data from input.csv
Apply weights 0.3,0.5,0.2
Apply impacts +,+,-
Write ranked output to output.csv


# 2. Use inside Python script
from topsis_package.topsis import topsis
topsis("data.csv", "0.4,0.3,0.3", "+,-,+", "result.csv")

📁 Project Structure

Topsis_package/
│
├── topsis
│ ├── _init_.py 
│ ├── _main_.py 
│ └── topsis.py 
├── README.md 
├── LICENSE 
├── setup.py 
└── pyproject.toml 

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.