topsis-garima-102303542 0.0.1

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.

---

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

---

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

Requirements

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

Install dependencies using: pip install numpy pandas matplotlib

---

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