topsis-mohit-102397005 1.0.22

Topsis technique for MCDM

TOPSIS Package

This package implements the TOPSIS technique for Multi-Criteria Decision Making Problems.

Installation

You can install the package using pip. First,run:

pip install topsis-mohit-102397005

Usage

After installing the package, you can use it from the command line.

Command Line Usage

To use the TOPSIS package from the command line, run the following command:

import topsis_mohit_102397005

python -m topsis_mohit_102397005.topsis_102397005 inputFileName weights impacts resultFileName

Example

Suppose you have an input file data.csv with the following content:

Model,Price,Quality,Service:
M1,25000,7,8
M2,30000,8,6
M3,27500,9,7
M4,28000,6,9

You can run the following command:

import topsis_mohit_102397005

python -m topsis_mohit_102397005.topsis_102397005 data.csv "0.25,0.25,0.5" "-,+,+" result.csv

This is the result.csv file created after running the command:

Model,Price,Quality,Service,TOPSIS Score,Rank
M1,25000,7,8,0.5345,2
M2,30000,8,6,0.3083,4
M3,27500,9,7,0.6912,1
M4,28000,6,9,0.4657,3

Function Usage

You can also use the TOPSIS package by calling the function directly in your Python code.

Example

import topsis_mohit_102397005

inputFileName = 'data.csv'
weights = '0.25,0.25,0.5'
impacts = '-,+,+'
resultFileName = 'result.csv'

topsis_mohit_102397005.run_topsis(inputFileName, weights, impacts, resultFileName)

This will produce the same output as the command line example, saving the results to result.csv.

Parameters

• inputFileName: The name of the input CSV file containing the data.
• weights: A string of weights separated by commas (e.g., "1,1,1").
• impacts: A string of impacts separated by commas, where each impact is either + or - (e.g., "+,+,-").
• resultFileName: The name of the output CSV file where the results will be saved.

About

• Author: Mohit Bansal
• Github: https://github.com/Mohit-Bansal-31/Topsis-Mohit-102397005
• Contact: [e-mail]
• Date: 20-Jan-2025