Skip to main content

This is a Python Package implementing TOPSIS used for multi-criteria decision analysis method

Project description

topsis-yashas-102103726

topsis-yashas-102103726 is a Python library for dealing with Multiple Criteria Decision Making(MCDM) problems by using Technique for Order of Preference by Similarity to Ideal Solution(TOPSIS).

Installation

Use pip package manager to install topsis-yashas-102013726.

    pip install topsis-yashas-102103726

Usage

Enter csv filename followed by .csv extentsion, then enter the weights vector with vector values separated by commas, followed by the impacts vector with comma separated signs (+,-) and the output csv file name.

    topsis-yashas-102103726 sample.csv "1,1,1,1" "+,-,+,+ output.csv"

Notes

  • The first column and first row are removed by the library before processing, in attempt to remove indices and headers.
  • Make sure the csv does not contain categorical values.

License

This project is licensed under the MIT License.

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-yashas-102103726-0.0.1.tar.gz (3.9 kB view details)

Uploaded Source

File details

Details for the file topsis-yashas-102103726-0.0.1.tar.gz.

File metadata

  • Download URL: topsis-yashas-102103726-0.0.1.tar.gz
  • Upload date:
  • Size: 3.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.1

File hashes

Hashes for topsis-yashas-102103726-0.0.1.tar.gz
Algorithm Hash digest
SHA256 565759e74a2bbe8888ae8e704c4e9f4f288928aa5e548c30acaadc76cfce18e6
MD5 3d097b42f46edcc019affa87ec90b72a
BLAKE2b-256 83821f45e0b6050e35686123bca16c1dcbe96d211ece708469d227640f05f491

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