topsis-vani-102303078 1.0.0

A Python package for TOPSIS (Technique for Order Preference by Similarity to Ideal Solution)

Topsis-Vani-102303078

A Python package implementing TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) for multi-criteria decision making.

Author: Vani Goyal
Roll Number: 102303078
Email: [e-mail]

What is TOPSIS?

TOPSIS is a multi-criteria decision analysis method that identifies the best alternative by calculating the geometric distance from the ideal solution and the negative-ideal solution.

Installation

pip install Topsis-Vani-102303078

Usage

Command Line Interface

topsis <InputDataFile> <Weights> <Impacts> <OutputFileName>

Example

topsis data.csv "1,1,1,2" "+,+,-,+" result.csv

Python Module

from topsis_vani_102303078 import topsis

topsis('input.csv', '1,1,1,2', '+,+,-,+', 'output.csv')

Input Format

CSV file with:

• Column 1: Alternative names/IDs
• Columns 2-N: Numeric criteria values

Example:

Fund Name,P1,P2,P3,P4,P5
M1,0.84,0.71,6.7,42.1,12.59
M2,0.91,0.83,7.0,31.7,10.11

Parameters

Weights

Comma-separated positive numbers (e.g., "1,1,1,2")

Impacts

Comma-separated + or - signs:

• + : Higher values are better (benefit criterion)
• - : Lower values are better (cost criterion)

Example: "+,+,-,+" means maximize P1, P2, P4 and minimize P3

Output

CSV file with original data plus:

• Topsis Score: Performance score (0-100, higher is better)
• Rank: Final ranking (1 is best)

Algorithm Steps

1. Normalization: Vector normalization of decision matrix
2. Weighted Matrix: Apply criterion weights
3. Ideal Solutions: Identify best and worst solutions
4. Distance Calculation: Euclidean distances from ideals
5. TOPSIS Score: Closeness coefficient calculation
6. Ranking: Sort by TOPSIS score

Requirements

• Python >= 3.7
• pandas >= 1.0.0
• numpy >= 1.18.0

License

MIT License - see LICENSE file

Links

• GitHub: https://github.com/vgalpha/Topsis-Vani-102303078
• PyPI: https://pypi.org/project/Topsis-Vani-102303078/

Author

Vani Goyal
Roll Number: 102303078
Thapar Institute of Engineering & Technology
Email: [e-mail]