Skip to main content

Topsis in python that take input csv file and outputs csv file

Project description

TOPSIS. Submitted By: Prateek Rai.


Type: Package.

Title: TOPSIS method for multiple-criteria decision making (MCDM).

Version: 1.0.4.

Author: Prateek Rai.

Maintainer: Prateek Rai prateek11rai@gmail.com.


Description: Evaluation of alternatives based on multiple criteria using TOPSIS method.

What is TOPSIS? Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) originated in the 1980s as a multi-criteria decision making method. TOPSIS chooses the alternative of shortest Euclidean distance from the ideal solution, and greatest distance from the negative-ideal solution.

How to install this package : pip install Topsis-Prateek-101916078

In Command Prompt : topsis data.csv "1,1,1,1,1" "+,+,-,+,+" result.csv

Input file (data.csv) The decision matrix should be constructed with each row representing a Model alternative, and each column representing a criterion like Accuracy, R2, Root Mean Squared Error, Correlation, and many more. The file should be put in the command line as the location of the file.

Weights (weights) is not already normalised will be normalised later in the code.

Information of benefit positive(+) or negative(-) impact criteria should be provided in impacts.

Output file (result.csv)

The output file contains columns of input file along with two additional columns having Topsis_score and Rank

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-Prateek-101916078-1.0.4.tar.gz (4.9 kB view details)

Uploaded Source

Built Distribution

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

Topsis_Prateek_101916078-1.0.4-py3-none-any.whl (5.4 kB view details)

Uploaded Python 3

File details

Details for the file Topsis-Prateek-101916078-1.0.4.tar.gz.

File metadata

  • Download URL: Topsis-Prateek-101916078-1.0.4.tar.gz
  • Upload date:
  • Size: 4.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.10.2

File hashes

Hashes for Topsis-Prateek-101916078-1.0.4.tar.gz
Algorithm Hash digest
SHA256 0666c465844aa98d9ec355071b53cc8a2b362886a4eb7281fa7241707bc791e0
MD5 e0df6affaf90880d1e8ed2333f27974d
BLAKE2b-256 5a4671cc1e8b25ebd8714142f330c8297656887394d274e0c1f7c1ab3c647078

See more details on using hashes here.

File details

Details for the file Topsis_Prateek_101916078-1.0.4-py3-none-any.whl.

File metadata

  • Download URL: Topsis_Prateek_101916078-1.0.4-py3-none-any.whl
  • Upload date:
  • Size: 5.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.10.2

File hashes

Hashes for Topsis_Prateek_101916078-1.0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 19e5aa7c77e56169f45e7259cd64a50d7ca5bf80c78821b71bf42901615c1397
MD5 b9db93fe8b802204f97fb442843d5cf0
BLAKE2b-256 8e64cef0ac716a007d333686dcf38f7896a9dc0e4faa67459f599b9560ccf9c4

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