Skip to main content

Implementation of topsis over a csv datafile using the distance calculation and comparison approach

Project description

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 altenrative of shortest Euclidean distance from the idael solution, and fartherst distance from the negative-ideal solution. More details at wikipedia. The TOPSIS algorithm is succintly explained in this paper comparing TOPSIS and VIKOR methods.

Just install my package using pip install topsis-kamakshi , import it and use the class topsis’s evaluate function to get the result.

The code is included inside too as topsis_code.py

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_kamakshi-0.0.1.tar.gz (2.5 kB view details)

Uploaded Source

File details

Details for the file topsis_kamakshi-0.0.1.tar.gz.

File metadata

  • Download URL: topsis_kamakshi-0.0.1.tar.gz
  • Upload date:
  • Size: 2.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/28.8.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.6.4

File hashes

Hashes for topsis_kamakshi-0.0.1.tar.gz
Algorithm Hash digest
SHA256 909cf034877bcfadf3cb15b6599fe163fb57955b172ea6f15f1c86e62c1d74b9
MD5 fe9b3700f1a431e5f2f00bcf50e256e0
BLAKE2b-256 44356cf513603ad036d650d4eaf6565c91315aacf5ec72539fc1917baec3c527

See more details on using hashes here.

Supported by

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