topsis-kashvi-102303564 1.0.0

TOPSIS implementation in Python (Command Line Tool)

TOPSIS Implementation in Python

This project provides a command-line implementation of the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method using Python.
It allows ranking of alternatives based on multiple criteria, weights, and impacts.

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What is TOPSIS?

TOPSIS is a multi-criteria decision-making (MCDM) technique used to rank alternatives by comparing their distances from an ideal best and an ideal worst solution.

The best alternative:

• Has the shortest distance from the ideal best
• Has the farthest distance from the ideal worst

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Project Structure

102303542_TOPSIS/
│
├── topsis/
│ ├── init.py
│ └── topsis.py
│ # Main TOPSIS implementation (CLI)
│
├── plot_graphs.py
│ # Script to generate graphs
│
├── README.md
│ # Project documentation
│
├── .gitignore
│
├── Topsis-Dataset.csv
│ # Sample input dataset
│
├── text_classification_result.csv
│ # Example TOPSIS output
│
├── modelResults.csv
│
├── topsis_scores.png
│ # TOPSIS score graph
│
└── topsis_ranking.png
# Ranking graph

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Requirements

• Python 3.x
• numpy
• pandas
• matplotlib(for graphs)

Install dependencies using: pip install numpy pandas matplotlib

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Usage(Command Line)

python topsis.py

Generate graphs using: python plot_graphs.py

Parameters: InputDataFile → CSV file with alternatives and criteria Weights → Comma-separated weights Impacts → + for benefit, - for cost ResultFileName → Output CSV file (auto-generated)

Input File Format: First column: Alternative names Remaining columns: Numeric criteria