Topsis-Shikha-101903629 0.0.0

TOPSIS Implementation using Python

Package Usage

TOPSIS-Technique for order performance by similarity to ideal solution

Submitted By: Shikha 101903629

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What is TOPSIS?

A simple but powerful decision method.

TOPSIS, known as Technique for Order of Preference by Similarity to Ideal Solution, is a multi-criteria decision analysis method. It compares a set of alternatives based on a pre-specified criterion. The method is used in the business across various industries, every time we need to make an analytical decision based on collected data.

How to use this package?

To begin with, you have to install the package 'Topsis_Shikha_101903629' using the following command: bash pip install Topsis_Shikha_101903629

Then you just need to do a function call by passing some specified parameters. We provided you with a function named as top_score(). This function requires three parameters.

Parameters:

1. First Parameter - Matrix

   Create a matrix consisting of M alternatives and N criteria. This matrix is usually called an “evaluation matrix”. All values should be numerical.

2. Second Parameter - Array consisting weights for each column.

   Assign weights to each column. Weights can be (1,1,1,1) or (1,1,0.5,0.5) or (1,1,2,2)

3. Third Parameter - Array consisting impact of each column.

   E.g. : (1,0,1,1) (1 for max value as best, 0 for min value as best)

Example: bash from python_topsis import Topsis_Shikha_101903629 as tps tps.top_score(evaluation_matrix, weights, impacts)

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