topsis package for 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 Topsis Score and Rank
How to use it?
Open terminal and type pip install Topsis-nikhil-102103482
To get started quickly, just use the following:
from topis_pckg.topsis import topsis topsis('inputfilename','Weights','Impacts','Outputfilename') make ensure the weights and impacts should be in ""
eg: "1,1,1,1,1" and "+,-,+,-,+"
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
Hashes for Topsis_nikhil_102103482-0.0.2.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | ceb251433f3d9b5fe989c0be02919200d8d7572dc9c880de4cab5516b18aa250 |
|
MD5 | 36f92116aa7d1856bc59b3da683844b3 |
|
BLAKE2b-256 | 8a6ee7cc4d5d5eac4ccf20df84e6fc4b1e8d735dba7b02d95e129e8c6142bbac |
Hashes for Topsis_nikhil_102103482-0.0.2-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0c8cc15e40f3528dc453d91fb86821a8ae541af9f15e5738b7ce2bbe2702b6f4 |
|
MD5 | 81961b08b480f5e181296d752609ebce |
|
BLAKE2b-256 | 7fa67d8f7183b428f9eb0e64f7e888cf74150f66cdd1bbc765c54136f999866b |