Skip to main content

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

Project description

TOPSIS Submitted By: Naman Kalsotra

Type: Package.

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

Version: 1.0.0.

Author: Naman Kalsotra.

Maintainer: Naman Kalsotra kalsotranaman@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-naman In Command Prompt: python topsis data.csv "1,1,1,1,1" "+,+,+,+,-" result.csv

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.

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-naman-101916076-1.0.2.tar.gz (3.4 kB view details)

Uploaded Source

Built Distribution

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

Topsis_naman_101916076-1.0.2-py3-none-any.whl (4.0 kB view details)

Uploaded Python 3

File details

Details for the file Topsis-naman-101916076-1.0.2.tar.gz.

File metadata

  • Download URL: Topsis-naman-101916076-1.0.2.tar.gz
  • Upload date:
  • Size: 3.4 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/3.9.10

File hashes

Hashes for Topsis-naman-101916076-1.0.2.tar.gz
Algorithm Hash digest
SHA256 8b3051818cc01675d59cc8f75ec3ed107db34418ec303619c4e4d07e0bcba40a
MD5 9db0670eb8002a0cf590dd1877d362f3
BLAKE2b-256 52273352d9632b86de1306f2268a9e6e101e540715d1f19acad26eae39f9b4a1

See more details on using hashes here.

File details

Details for the file Topsis_naman_101916076-1.0.2-py3-none-any.whl.

File metadata

  • Download URL: Topsis_naman_101916076-1.0.2-py3-none-any.whl
  • Upload date:
  • Size: 4.0 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/3.9.10

File hashes

Hashes for Topsis_naman_101916076-1.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 57fd8585cb465338225cfc8225c79426a1ea98a55272c7ff8935f96fa3222a10
MD5 3af4c3f2eeaa220707f8f4f0c4e5b5e4
BLAKE2b-256 d2cc436cc3ce3b349cdafcdbce5ee69988759d8682e74a66c4a9efee01e71735

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