This Python package implements the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) for multi-criteria decision-making.
Project description
Topsis Implementation in Python
This Python package implements the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) for multi-criteria decision-making.
Features
- Calculate TOPSIS scores and rank alternatives.
- Input data via CSV files.
- Comprehensive validation of inputs.
Installation
To install the package, use the following command:
pip install TOPSIS-JASHANDEEP-102218023
Usage
Enter csv filename followed by .csv extentsion, then enter the weights vector with vector values separated by commas, followed by the impacts vector with comma separated signs (+,-) and result csv filename followed by .csv extension.
topsis "sample.csv" "1,1,1,1" "+,-,+,+" "result.csv"
Project details
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_jashandeep_102218023-1.1.2.tar.gz.
File metadata
- Download URL: topsis_jashandeep_102218023-1.1.2.tar.gz
- Upload date:
- Size: 3.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.10.11
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
214551d439b7584d4ba2aa56c74855d25a50300f8d8206f4ba317ef4be7b40bb
|
|
| MD5 |
a9def1a400dedd85895f7755984a1c98
|
|
| BLAKE2b-256 |
e2df534d7ef37cfee418aa2fa85c07a9e64afd3210f2407cfceefb587b83e7b8
|
File details
Details for the file TOPSIS_JASHANDEEP_102218023-1.1.2-py3-none-any.whl.
File metadata
- Download URL: TOPSIS_JASHANDEEP_102218023-1.1.2-py3-none-any.whl
- Upload date:
- Size: 4.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.10.11
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c9ca696329ddc7eaaebaa09ec8e0a7a9112e11c69ce026ef263197f56bf61e34
|
|
| MD5 |
14a871e0dc1fa32b920945d7798c271e
|
|
| BLAKE2b-256 |
84eba4cf7e0680a9222b44b33716294fb1041bdabeb37f13412399cd0cdda9d2
|