Topsis-Kaustubh-102203194 1.0.0

Ranking alternatives based on similarity.

TOPSIS Python Package

Overview

TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) is a multi-criteria decision analysis (MCDA) method for ranking and selecting alternatives based on multiple criteria.

Features

• Ranking of options based on multiple criteria
• Flexible weight and impact specification
• Ideal solution distance calculation
• CSV input and output support

Installation

pip install topsis-package

Usage

Command-Line Syntax

python -m topsis.topsis <input_data.csv> <weights> <impacts> <result.csv>

Parameters

1. input_data.csv: CSV file with options and criteria values
2. <weights>: Comma-separated criterion weights (e.g., "1,1,2,2,1")
3. <impacts>: Comma-separated criterion impacts ("+,+,-,-,-")
4. result.csv: Output CSV file for results

Example

python -m topsis.topsis input_data.csv "1,1,2,2,1" "+,+,-,-,-" result.csv

Input CSV Format

Option	Criterion1	Criterion2	Criterion3	Criterion4	Criterion5
Option1	7	9	6	8	7
Option2	8	7	9	7	8
Option3	6	5	8	6	5

Output CSV Format

Option	Distance from Ideal Best	Distance from Ideal Worst	TOPSIS Score	Rank
Option1	2.5	5.0	0.6667	1
Option2	3.0	4.5	0.6	2
Option3	3.5	3.0	0.4615	3

Requirements

• Python 3.6+
• Clean numerical input data

License

© 2025 Kaustubh Singh MIT License