Topsis Package
Python Package for TOPSIS Analysis in Multi-Criteria Decision Making
Authors
Features
- Customizable Decision Matrix
- Comprehensive Error Handling
Installation
Install the package with following command
pip install Topsis-Guryansh-102218044
Usage
- Weights and Imapcts seperated by commas
- Impacts should be give in + and - for maximization and minimization respectively
- Files should be of format .csv
guryansh_topsis <inputFileName> <Weights> <Impacts> <resultFileName>
Example
guryansh_topsis 102218044-data.csv ".25,.25,.25,.25,.25" "-,+,+,+,+" output.csv
1 maintainer
Metadata
1 maintainer
Release files for Topsis-Guryansh-102218044 1.0.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| topsis_guryansh_102218044-1.0.5.tar.gz | 3.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| Topsis_Guryansh_102218044-1.0.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.6 kB
Release files / topsis_guryansh_102218044-1.0.5.tar.gz
| Download URL | topsis_guryansh_102218044-1.0.5.tar.gz |
|---|---|
| Size | 3.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Uploaded via |
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Release files / Topsis_Guryansh_102218044-1.0.5-py3-none-any.whl
| Download URL | Topsis_Guryansh_102218044-1.0.5-py3-none-any.whl |
|---|---|
| Size | 4.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.4
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