topsis102203635 0.1.2

Package to perform TOPSIS Analysis

TOPSIS Method for Decision Analysis

This Python package provides an efficient implementation of the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method. It's a straightforward tool to evaluate alternatives based on multiple criteria and rank them according to their relative performance.

How to Install

To install the package, use pip as follows:

pip install topsis102203635

Quick Start Guide

Import the Library and Set Up Data Here's an example to help you get started with this package:

import pandas as pd from topsis102203635 import Topsis

data = { 'P1': [0.88, 0.91, 0.79, 0.94], 'P2': [0.77, 0.83, 0.62, 0.88], 'P3': [6.5, 7.0, 4.8, 3.6], 'P4': [51.5, 31.7, 46.7, 62.2], 'P5': [14.91, 10.11, 13.23, 16.91] }

df = pd.DataFrame(data)

weights = [0.2, 0.2, 0.2, 0.2, 0.2] impacts = ['+', '+', '-', '+', '+']

topsis = Topsis(df, weights, impacts)

result = topsis.calculate()

print(result)

Key Features

Ease of Use: Simplified syntax for implementing the TOPSIS method. Flexible Criteria: Support for any number of criteria with user-defined weights and impacts. Customizable: Easily modify input data, weights, and the direction (impact) of each criterion.