TopsisPackage-102216017 1.0.0

A Python implementation of the TOPSIS decision-making method.

TOPSIS Package

A Python package for ranking alternatives using the TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method.

Installation

Install the package via pip:

pip install TopsisPackage_102216017

Usage

Command-Line Interface (CLI)

Run the TOPSIS method from the command line:

topsis <input_file.csv> [weights] [impacts]

Parameters:

• <input_file.csv>: Path to the CSV file containing the data.
• [weights]: List of weights for criteria, e.g., [0.4,0.3,0.3].
• [impacts]: List of impacts, where + is for beneficial criteria and - is for non-beneficial criteria.

Example:

topsis data.csv [0.5,0.3,0.2] [+, -, +]

Using in Python Code

You can use the package programmatically in Python:

from TopsisPackage_102216017 import Topsis

# Input data: rows = alternatives, columns = criteria
data = [
    [250, 16, 12],
    [200, 16, 8],
    [300, 32, 16]
]
weights = [0.4, 0.3, 0.3]  # Criteria weights
impacts = ['+', '-', '+']   # '+' = beneficial, '-' = non-beneficial

# Create a Topsis object and calculate scores and ranks
topsis = Topsis(data, weights, impacts)
scores, ranks = topsis.rank()

print("Scores:", scores)  # Performance scores
print("Ranks:", ranks)    # Rankings

Input File Format

The input CSV file should have the following structure:

Alternative	Criterion1	Criterion2	Criterion3
A1	250	16	12
A2	200	16	8
A3	300	32	16

Notes:

• First column: Names of alternatives (e.g., A1, A2).
• Remaining columns: Numerical values for each criterion.

License

This project is licensed under the MIT License.