Skip to main content

TOPSIS implementation using Python

Project description

TOPSIS Implementation in Python

Course: UCS654 – Predictive Analytics using Statistics
Assignment: Assignment-1 (TOPSIS)
Author: Chirag Gupta
Roll Number: 102303483


About the Project

This project provides 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 alternatives based on their distance from the ideal best and ideal worst solutions.


Installation (User Manual)

This package requires Python 3.7 or higher.

Dependencies

  • pandas
  • numpy

Install the package using pip:

pip install Topsis-chirag-102303483

Usage

Run the following command in the Command Prompt / Terminal:

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

Example

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

topsis_chirag_102303483-1.0.3.tar.gz (2.9 kB view details)

Uploaded Source

File details

Details for the file topsis_chirag_102303483-1.0.3.tar.gz.

File metadata

  • Download URL: topsis_chirag_102303483-1.0.3.tar.gz
  • Upload date:
  • Size: 2.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.4

File hashes

Hashes for topsis_chirag_102303483-1.0.3.tar.gz
Algorithm Hash digest
SHA256 52810a6209de325886e70b74f9349f67be97c011929e9ff7fa777409a126854e
MD5 295f8bf95db015fe8dc5742cfa0f8e2e
BLAKE2b-256 8ae25203e652ff379b9be6cafe76d3fa07fb35422ec5ecd843e0579c16ed1479

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page