Skip to main content

TOPSIS implementation

Project description

TOPSIS-Vipul-101803491 is an implementation of Technique of Order Preference Similarity to the Ideal Solution(TOPSIS). It will help you to place your data acc to preference that is by looking at the data and performing some Maths it will tell you the Preference in which you will be most benefitted. If you want to run the code from command line use the following format: python topsis.py <InputDataFile> <Weights> <Impacts> <ResultFileName> Example: python topsis.py inputfile.csv “1,1,1,2” “+,+,-,+” 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-Vipul-101803491-0.8.tar.gz (3.0 kB view details)

Uploaded Source

File details

Details for the file TOPSIS-Vipul-101803491-0.8.tar.gz.

File metadata

  • Download URL: TOPSIS-Vipul-101803491-0.8.tar.gz
  • Upload date:
  • Size: 3.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/50.3.2 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.6

File hashes

Hashes for TOPSIS-Vipul-101803491-0.8.tar.gz
Algorithm Hash digest
SHA256 c68f9207bb52fdc10f94f460e5441623261caaab514e7c233b1abba1df7ab357
MD5 06772da39a1f666ac0ccfadbbccc735b
BLAKE2b-256 6e4e950d2c534fb5dc26816241587ca5d1efb477caed000169b4d1984fa65367

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