Topsis-Ishika-102303460 0.0.1

TOPSIS implementation using Python

TOPSIS Implementation in Python

Course: UCS654 - Predictive Analytics using Statistics
Assignment: Assignment-1 (TOPSIS)
Author: Ishika Roll Number: 102303460

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About the Project

This repository contains a Python implementation of the
TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method.

TOPSIS is a multi-criteria decision-making (MCDM) technique used to rank multiple alternatives based on their distance from the ideal best and ideal worst solutions.

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Installation - USER MANUAL

1. topsis-ishika-102303460 requires Python3 to run.
2. Other dependencies that come installed with this package are :-
   • pandas
   • numpy
3. Package listed on PyPI:- https://pypi.org/project/Topsis-Ishika-102303460/1.0.0/
4. Use the following command to install this package:-

   pip install Topsis-Ishika-102303460==1.0.0
   

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Usage

Run the following command in command prompt:

topsis <inputFile> <weights> <impacts> <outputFile>

Example:

topsis sample.csv "1,1,1,1" "+,+,-,+" result.csv

Help

To view usage instructions:

topsis /h

Example

Input File: sample.csv

The input file contains data for different mobile handsets with multiple criteria.

Model	Storage (GB)	Camera (MP)	Price ($)	Looks (out of 5)
M1	16	12	250	5
M2	16	8	200	3
M3	32	16	300	4
M4	32	8	275	4
M5	16	16	225	2

Weights

[0.25, 0.25, 0.25, 0.25]

Impacts

[+, +, -, +]

Input Command

topsis sample.csv "0.25,0.25,0.25,0.25" "+,+,-,+"

Output

Model	Topsis Score	Rank
M1	0.534277	3
M2	0.308368	5
M3	0.691632	1
M4	0.534737	2
M5	0.401046	4