TOPSIS Package
TOPSIS stands for Technique for Oder Preference by Similarity to Ideal Solution. It 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. An assumption of TOPSIS is that the criteria are monotonically increasing or decreasing. In this Python package Vector Normalization has been implemented.
This package has been created based on Project 1 of course UCS633. Tarandeep Singh 102017067
In Command Prompt
topsis data.csv "1,1,1,1" "+,+,-,+"
Metadata
Release files for 102017067-topsis 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| 102017067-topsis-1.0.0.tar.gz | 2.6 kB | Without provenance | Details for 102017067-topsis-1.0.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| 102017067_topsis-1.0.0-py3-none-any.whl | Python 3 | none | any | Details for 102017067_topsis-1.0.0-py3-none-any.whl |
Total release size: 5.5 kB
Release files / 102017067-topsis-1.0.0.tar.gz
| Download URL | 102017067-topsis-1.0.0.tar.gz |
|---|---|
| Size | 2.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
0030cbca48e51671d2fa4765e116dd47bc3291cbfa125c27f16b60fd6cd56405
|
|
BLAKE2b-256 checksum How to use checksums |
e48f02e1c0e6cc8c7093139c267365ba890e19e66933e37132d8e75210b2f87c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.9
|
Release files / 102017067_topsis-1.0.0-py3-none-any.whl
| Download URL | 102017067_topsis-1.0.0-py3-none-any.whl |
|---|---|
| Size | 2.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
8b3c96822a13af5b765a5c50237907d3bbaab13cd2a6354ba16c7c5a65a66bf7
|
|
BLAKE2b-256 checksum How to use checksums |
00b67446578aaa7fc118c0b64ece325ffc43a3823452afef0642f086bc55d764
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.9
|
Security for 102017067-topsis 1.0.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.