Topsis-vishesh-102316085 1.0.0

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

Topsis-vishesh-102316085

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

Description

TOPSIS is a multi-criteria decision analysis method. It helps in ranking alternatives based on their distance from the ideal solution. This package provides both a Python library and a command-line interface for performing TOPSIS analysis.

Installation

From PyPI (after publishing)

pip install Topsis-vishesh-102316085

From source

git clone https://github.com/yourusername/topsis.git
cd topsis
pip install .

Usage

Command Line

After installation, you can use the topsis command:

topsis <InputDataFile> <Weights> <Impacts> <OutputResultFileName>

Example:

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

Parameters:

• InputDataFile: Path to CSV file containing the decision matrix (first column should be alternative names)
• Weights: Comma-separated weights for each criterion (e.g., "1,1,1,2")
• Impacts: Comma-separated impacts for each criterion, either '+' (benefit) or '-' (cost) (e.g., "+,+,-,+")
• OutputResultFileName: Path where the result CSV will be saved

Python Library

from Topsis_vishesh_102316085 import topsis

# Perform TOPSIS analysis
result_df = topsis(
    input_file='data.csv',
    weights_str='1,1,1,2',
    impacts_str='+,+,-,+',
    output_file='output.csv'
)

print(result_df)

Input File Format

The input CSV file should have:

• First column: Names/IDs of alternatives
• Remaining columns: Numeric criteria values

Example (data.csv):

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
M3,0.79,0.62,4.8,46.7,13.23

Output

The output CSV file will contain:

• All original columns
• Topsis Score: Calculated TOPSIS score for each alternative
• Rank: Rank of each alternative (1 being the best)

Validation

The package performs comprehensive validation:

• Correct number of parameters
• File existence check
• Minimum 3 columns requirement
• Numeric values validation (from 2nd column onwards)
• Equal number of weights, impacts, and criteria
• Valid impact values (+ or -)
• Comma-separated format for weights and impacts

Sample Example

Reference implementation: https://pypi.org/project/topsis-3283/

License

MIT License

Author

Vishesh (Roll No: 102316085)