Skip to main content

This is a package for implementing Topsis

Project description

Topsis Package by Aditya Kalhan

Roll Number : 102053005 Subgroup : 3COE18 It takes a csv file, weights (seperated by comma) , impacts (+ or -) and outputs a result file.

What is Topsis

TOPSIS is based on the fundamental premise that the best solution has the shortest distance from the positive-ideal solution, and the longest distance from the negative-ideal one.
Selecting an appropriate Multiple Attribute Decision Making (MADM) method for a given MADM problem is always a challenging task.
Within the MADM domain, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is highly regarded, applied and adopted MADM method due to its simplicity and underlying concept that the best solution is the one closest to the positive ideal solution and furthest from the negative ideal solution.

Installation

Use pip installer
pip install 102053005-Aditya-Topsis

How to use it

Open terminal and type
102053005 sample.csv "1,1,1,1" "+,+,-,+" result.csv

Example

Model Storage Space Camera Price Looks
M1 16 12 250 5
M2 16 8 200 3
M3 32 16 300 4
M4 32 8 275 4
M5 16 16 225 2

weights = [1,1,1,1]
impact = ["+","+","-","+"]

Output

Model Storage Space Camera Price Looks Topsis Score Rank
M1 16 12 250 5 0.534269 3
M2 16 8 200 3 0.308314 5
M3 32 16 300 4 0.691686 1
M4 32 8 275 4 0.534807 2
M5 16 16 225 2 0.401222 4

Output will be saved in a CSV file whose name will be provided in the command line. It will have all the columns along with the Topsis Score and Ranks.

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

102053005_Aditya_Topsis-0.11.tar.gz (4.2 kB view details)

Uploaded Source

Built Distribution

102053005_Aditya_Topsis-0.11-py3-none-any.whl (4.8 kB view details)

Uploaded Python 3

File details

Details for the file 102053005_Aditya_Topsis-0.11.tar.gz.

File metadata

File hashes

Hashes for 102053005_Aditya_Topsis-0.11.tar.gz
Algorithm Hash digest
SHA256 168964c6ce76dd289aec5eb4bda7f654c3fc91272ea4d584ed2570803f9f81b4
MD5 b264c7a1ad1a6be756d919ef3eb89514
BLAKE2b-256 f7ba845becb9581d9489043ca8bb6d05581c1e0fc6c50165eff1b2c0ac6bf637

See more details on using hashes here.

File details

Details for the file 102053005_Aditya_Topsis-0.11-py3-none-any.whl.

File metadata

File hashes

Hashes for 102053005_Aditya_Topsis-0.11-py3-none-any.whl
Algorithm Hash digest
SHA256 a4ff2d981a8aff8bb00f22751c2ebe8b130f61ebdf7f3f984d5689de5012945c
MD5 a397406a8e2fbd8652830dfd477f8ec4
BLAKE2b-256 6ab221647ea7a6754d5ef2a8107a470c111a8c6d59477cc4e3856b0cd6bfef6f

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page