Skip to main content

Given package has the code for topsis, which is one of the techniques used for multiple criteria decision making. It chooses the Euclidean distance from the ideal solution and greatest distance from the negative ideal solution.

Project description

Topsis_Harshita_Saxena

TOPSIS

Submitted By: Harshita Saxena - 102003497.

Description: Evaluation of alternatives based on multiple criteria using TOPSIS method..


How to install this package:

>> pip install Topsis_Harshita_Saxena_102003497

In Command Prompt

>> python <program.py> <InputDataFile> <Weights> <Impacts> <ResultFileName>

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_Harshita_Saxena_102003497-0.3.tar.gz (2.8 kB view details)

Uploaded Source

Built Distribution

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

File details

Details for the file Topsis_Harshita_Saxena_102003497-0.3.tar.gz.

File metadata

File hashes

Hashes for Topsis_Harshita_Saxena_102003497-0.3.tar.gz
Algorithm Hash digest
SHA256 8d4fcdd4a80a1cf0819c5d21332e079ff9a836efb26819d10e41272b713cf780
MD5 c5e78c8b808c389f55caf75bcec388f4
BLAKE2b-256 0958b632e47371b10ae8cb321ecef9027e485f7d241810ef1f644b8630204fa0

See more details on using hashes here.

File details

Details for the file Topsis_Harshita_Saxena_102003497-0.3-py3-none-any.whl.

File metadata

File hashes

Hashes for Topsis_Harshita_Saxena_102003497-0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 d237808648140075801596148359c73d2d56e290282ce907bd3a62db9a1e4830
MD5 cbb4d1a8c68f90a3106d7a0c748263a7
BLAKE2b-256 968553e278a5e512215c12a4d5d57463c2aa4503a38cbd17c8af9533f559f08a

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