Topsis Package
Project description
TOPSIS PACKAGE
By-Karanvir Singh
The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is a multi-criteria decision analysis method.t is a method of compensatory aggregation that compares a set of alternatives by identifying weights for each criterion, normalising scores for each criterion and calculating the geometric distance between each alternative and the ideal alternative, which is the best score in each criterion
INSTALL THE PACKAGE
To install the package write the following command
pip install Topsis-Karanvir-101903698
WRITE ARGUMENTS IN COMMAND LINE
To get the ouput file in csv format the input should be given in thje following format-python filename.py input.csv weights impacts outputFile.csv
python abc.py input.csv "1,1,1,1,1" "+,+,+,+,-" output.csv
LICENSE
Copyright(c) 2022 Karanvir Singh
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
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file Topsis-Karanvir-101903698-1.0.1.tar.gz.
File metadata
- Download URL: Topsis-Karanvir-101903698-1.0.1.tar.gz
- Upload date:
- Size: 2.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.26.0 requests-toolbelt/0.9.1 urllib3/1.26.7 tqdm/4.62.3 importlib-metadata/4.8.1 keyring/23.1.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c490c696e2e581efc97c11307dffd08e3b88c0ef364dc85f54a9749c56163872
|
|
| MD5 |
7fc9f8502a1de37f029f74c4d61255a6
|
|
| BLAKE2b-256 |
cd5a3512ded049b5202a678e9a05770e3ceff3a0ed25a1c39574e4775095f97a
|
File details
Details for the file Topsis_Karanvir_101903698-1.0.1-py3-none-any.whl.
File metadata
- Download URL: Topsis_Karanvir_101903698-1.0.1-py3-none-any.whl
- Upload date:
- Size: 2.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.26.0 requests-toolbelt/0.9.1 urllib3/1.26.7 tqdm/4.62.3 importlib-metadata/4.8.1 keyring/23.1.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
644293e0af15fb96193719c15a75589cc0d67d2134986025318b0654a31a2e9b
|
|
| MD5 |
534c3d2b1ca64f566bc4695989f1547e
|
|
| BLAKE2b-256 |
6330e1814a3dc24132e64421497cb8dae0ff0ada4f0dae85a09bb477ae13e340
|
