Skip to main content

A Python package to find TOPSIS for multi-criteria decision analysis method

Project description

Topsis (MCDM)

CalcTopsis is a Python package implementing Topsis method sed for multi-criteria decision analysis. Topsis stands for Technique for Order of Preference by Similarity to Ideal Solution

Just provide your input attributes and it will give you the results

Installation

$ pip install TOPSIS-102103268 == 0.0.1 In the commandline, you can write as - $ python <package_name> <result_file_name>

E.g for input data file as data.csv, command will be like $ python topsis.py data.csv "1,1,1,1" "+,+,-,+" output.csv

This will print all the output attribute values along with the Rank column, in a tabular format

License -> MIT

Change Log

0.0.1 (12/11/2020)

  • First Release

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-102103268-0.0.1.tar.gz (2.4 kB view details)

Uploaded Source

Built Distribution

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

TOPSIS_102103268-0.0.1-py3-none-any.whl (2.6 kB view details)

Uploaded Python 3

File details

Details for the file TOPSIS-102103268-0.0.1.tar.gz.

File metadata

  • Download URL: TOPSIS-102103268-0.0.1.tar.gz
  • Upload date:
  • Size: 2.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.1

File hashes

Hashes for TOPSIS-102103268-0.0.1.tar.gz
Algorithm Hash digest
SHA256 cf31a914541dda03c6b19172d710a87c45913ac1db16df521011b1da2c7e3dd3
MD5 00cbf11351980cb63656df4308a5ff39
BLAKE2b-256 42cd8facfa7d893861aa91e5f2e0c9c2fefe1d203f053ff0df031fda41f8bead

See more details on using hashes here.

File details

Details for the file TOPSIS_102103268-0.0.1-py3-none-any.whl.

File metadata

File hashes

Hashes for TOPSIS_102103268-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 193a2c16ef8d67784e48b3784dd68c4640e61944d842cdc98e1c85a6eb1d2bc8
MD5 8b52bbca49acc21041dafb5470e9b83e
BLAKE2b-256 b693e7ea2141fa68ff4b30beae4f71a80b0fd95ca5dbf48924ebc62cf767e033

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