Skip to main content

A Python package for TOPSIS decision making

Project description

Topsis-Kunal-102303330

This project is a Python Command Line Implementation of TOPSIS (Technique for Order Preference by Similarity to Ideal Solution).

It allows you to rank alternatives based on multiple criteria using weights and impacts provided by the user.


Installation:

pip install topsis-102303330

🚀 Features

  • Works with both .csv and .xlsx files
  • Command-line based (as required)
  • Performs all validation checks
  • Handles file errors and invalid input
  • Implements full TOPSIS mathematical procedure
  • Outputs ranked result file with Topsis Score and Rank

What is TOPSIS?

TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) is a multi-criteria decision-making (MCDM) method.

The best alternative is the one that is:

  • Closest to the ideal best solution
  • Farthest from the ideal worst solution

📂 Input File Format

Your input file must be either:

  • .csv OR
  • .xlsx

Format:

Alternative C1 C2 C3 C4 C5
A1 0.67 0.45 6.5 42.6 12.56
A2 0.60 0.36 3.6 53.3 14.47
A3 0.82 0.67 3.8 63.1 17.1

⚠️ First column = Name/ID
⚠️ From second column onwards = Only numeric values


🖥️ How to Run

🔹 Syntax:

python topsis.py <InputFile> <Weights> <Impacts> <OutputFile>

Output File Structure:

Alternative C1 C2 C3 C4 C5 Topsis Score Rank
A1 ... ... ... ... ... 0.645 2
A2 ... ... ... ... ... 0.782 1
A3 ... ... ... ... ... 0.432 3

👨‍💻 Author

Kunal Sharma

B.Tech Student | Machine Learning & Full Stack Developer

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_kunal_102303330-1.0.1.tar.gz (3.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

topsis_kunal_102303330-1.0.1-py3-none-any.whl (3.7 kB view details)

Uploaded Python 3

File details

Details for the file topsis_kunal_102303330-1.0.1.tar.gz.

File metadata

  • Download URL: topsis_kunal_102303330-1.0.1.tar.gz
  • Upload date:
  • Size: 3.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.7

File hashes

Hashes for topsis_kunal_102303330-1.0.1.tar.gz
Algorithm Hash digest
SHA256 ce49baebaac0274d0aae06cef39e7a0cff6fdeadb1d73811b6c1c203f9102ec5
MD5 677224cab885cf1e880967e6c899a378
BLAKE2b-256 60462866609f3fecc1f6843072f3736c2a0855c80f701f27cb3ae1f820d19c76

See more details on using hashes here.

File details

Details for the file topsis_kunal_102303330-1.0.1-py3-none-any.whl.

File metadata

File hashes

Hashes for topsis_kunal_102303330-1.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 2813714a44cf82840bfff9edaaa6c892f67d5ff24ce74bc0478acca83b472c6e
MD5 a2a524143bff057788c5a624835745fc
BLAKE2b-256 c990d3ac8709969ec7012a492511a9085c62c69aea7821c62ad63e52d7305f23

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