Skip to main content

TOPSIS-Ranking Algorithm for Multiple Criteria Decision Making

Project description

TOPSIS (Technique for order performance by similarity to ideal solution) is a useful technique in dealing with multi-attribute or multi-criteria decision making (MADM/MCDM) problems in the real world. The principle of compromise (of TOPSIS) for multiple criteria decision making is that the chosen solution should have the shortest distance from the positive ideal solution as well as the longest distance from the negative ideal solution.It compares a set of alternatives based on a pre-specified criterion. The method is used in the business across various industries, every time we need to make an analytical decision based on collected data. You input the data in a csv file and then assign weights and impacts of the columns. Applying the Topsis package you will be provded with topsis score and rank along with it.

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-Brahmjot-102003736-0.0.1.tar.gz (3.2 kB view details)

Uploaded Source

Built Distribution

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

TOPSIS_Brahmjot_102003736-0.0.1-py3-none-any.whl (3.5 kB view details)

Uploaded Python 3

File details

Details for the file TOPSIS-Brahmjot-102003736-0.0.1.tar.gz.

File metadata

File hashes

Hashes for TOPSIS-Brahmjot-102003736-0.0.1.tar.gz
Algorithm Hash digest
SHA256 099dacb74eee972a0526e45a73f3ae7f24813c85adc2ad0615fb6be65c4debe1
MD5 37ad56ac1ffadd717f5c6b2901cc32be
BLAKE2b-256 32b476557d3797759627b9c2c20fcdcd3e5ee946bf24cee64df51dbb447ba14d

See more details on using hashes here.

File details

Details for the file TOPSIS_Brahmjot_102003736-0.0.1-py3-none-any.whl.

File metadata

File hashes

Hashes for TOPSIS_Brahmjot_102003736-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 cdee1e072b3da42389ace55525da961a048264fe32b2ae7a51c5823f232dbf1c
MD5 057de48bc0ef93eeb5aa76a5cdebc16e
BLAKE2b-256 eeeba7d55e80e91a8cf8e5589dfc7abd17846abaad1d3f51449979a927f4e4f3

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