Multiple Criteria Decision Making
Project description
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. Alternatives are ranked with the use of an overall index calculated based on the distances from the ideal solutions.
It takes 4 arguments : 1.Data.csv file 2.Weights 3.Impacts 4.Result file
Returns file with Ranks and Topsis Score
How to use it?
Open terminal and type topsis data file name weights impacts result file name
ex: topsis data.csv 1,1,1,1 +,+,-,+ resullt.csv
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file 102003766-topsis-0.0.1.tar.gz
.
File metadata
- Download URL: 102003766-topsis-0.0.1.tar.gz
- Upload date:
- Size: 3.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.1
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7775d110ef4f626ec2115417fe6e6c5e360166d990975fe89e4571a54afe566e |
|
MD5 | 056c0d420df5eea509682851f8ced98e |
|
BLAKE2b-256 | d28909e6906c47937dde492f7f5280d5a3c92069b7d711fb9784ec29e2fe24cc |
File details
Details for the file 102003766_topsis-0.0.1-py3-none-any.whl
.
File metadata
- Download URL: 102003766_topsis-0.0.1-py3-none-any.whl
- Upload date:
- Size: 3.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.1
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3332da2209a104228e6567bf4e1fb61e5db528cee2896e332eecafa37289e7ff |
|
MD5 | d72e2b50ec1db88508bb758a6e2bc4ee |
|
BLAKE2b-256 | ca951c7ac702555f03b4932aae68f121e2d0feec24d6f0b1334e164077e86fbc |