Skip to main content

A Python package to get best alternative available using TOPSIS method.

Project description

TOPSIS-Akriti-101803608

A python package which implements TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) which is a multi-criteria decision analysis method.

Usage

Running the following query on the command-line interface will help to rank the models i.e. choose the best alternative available from a given set of models based on multiple, usually conflicting criteria.

TOPSIS-Akriti-101803608 <data_file_name> <weights> <impacts> <result_file_name>

Note - Make sure that you run the command in the folder you have stored your data files , else provide the complete path of the file.

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-Akriti-101803608-1.0.1.tar.gz (4.4 kB view details)

Uploaded Source

Built Distribution

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

TOPSIS_Akriti_101803608-1.0.1-py3-none-any.whl (4.8 kB view details)

Uploaded Python 3

File details

Details for the file TOPSIS-Akriti-101803608-1.0.1.tar.gz.

File metadata

  • Download URL: TOPSIS-Akriti-101803608-1.0.1.tar.gz
  • Upload date:
  • Size: 4.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.8.1

File hashes

Hashes for TOPSIS-Akriti-101803608-1.0.1.tar.gz
Algorithm Hash digest
SHA256 ba32ad8dc3cdb7c1e10c21caf2f247736dd7870174dd77c854fb03687cb17805
MD5 168e6c97f5281b43d5df2c19d0c63f2b
BLAKE2b-256 6a65290d776f634be724513fd34e642ff1410fd7a7f1322b8944cec2f5e5fd7e

See more details on using hashes here.

File details

Details for the file TOPSIS_Akriti_101803608-1.0.1-py3-none-any.whl.

File metadata

  • Download URL: TOPSIS_Akriti_101803608-1.0.1-py3-none-any.whl
  • Upload date:
  • Size: 4.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.8.1

File hashes

Hashes for TOPSIS_Akriti_101803608-1.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 efe928af5162567e043270121d50947caf495d1fa91bba9157cd1056f5d90a13
MD5 831aa6a85a978dfbc931edf54267dd6d
BLAKE2b-256 fbd11b1f82fac185472bc835197102df43a0d7307ebc1c2401688530d652d6fa

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