topsis-aayushi-102103421 0.1.3

Topsis Implementation Package

** Overview**

This is a Python package that provides an implementation of the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) algorithm. TOPSIS is a multi-criteria decision-making method that helps in ranking a set of alternatives by evaluating them based on multiple criteria.

Installation

You can install the package using pip:

pip install topsis-aayushi-102103421

USAGE

from topsis-aayushi-102103421 import topsis

#Example data (replace this with your actual data) data = { 'Alternative1': [1, 2, 3, 4], 'Alternative2': [4, 3, 2, 1], # Add more alternatives and their values }

#Criteria weights (replace this with your actual weights) weights = [0.25, 0.25, 0.25, 0.25]

#Criteria impacts ('+' or '-' for each criterion) impacts = ['+', '+', '+', '-']

#Perform TOPSIS analysis result = topsis(data, weights, impacts)

#Display the ranking print("Ranking:", result)

Parameters

data: A dictionary where keys are alternative names, and values are lists representing the performance values for each criterion. weights: A list of weights corresponding to the importance of each criterion. impacts: A list of impacts ('+' or '-') corresponding to the desired effect of each criterion.

License

This package is distributed under the MIT License - see the LICENSE file for details.