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TOPSIS Implementation in Python

Course: UCS654 - Predictive Analytics using Statistics
Assignment: Assignment-1 (TOPSIS)
Author: Agamdeep Singh
Roll Number: 102303261


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.


Installation - USER MANUAL

  1. Topsis-Agamdeep-102303261 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-agamdeep-555/0.1.6/
  4. Use the following command to install this package:-
    pip install Topsis-Agamdeep-102303261
    

Usage

Run the following command in command prompt:

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

Example:

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

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