TOPSIS implementation for multi-criteria decision making
Project description
Topsis-Dikshant-123456
Description
This package implements the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method.
Installation
pip install topsis-dikshant-102303201
Usage
topsis data.xlsx "1,1,1,1,1" "+,+,-,+,+" result.csv
Input Format
- First column: Alternative names
- Remaining columns: Numeric criteria
Output
- Adds TOPSIS Score
- Adds Rank
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
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_dikshant_102303201-0.1.1.tar.gz.
File metadata
- Download URL: topsis_dikshant_102303201-0.1.1.tar.gz
- Upload date:
- Size: 3.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
05fbcd18a59d52780a202575795e5a3fbf029021053228db400efd86694086b5
|
|
| MD5 |
718bce3dbcd7d3b65a6d83ac45bf82cd
|
|
| BLAKE2b-256 |
2eb9662153f9072b9ff833f84ba9e23acb437aada4af7a593fd1ebad471cfd4e
|
File details
Details for the file topsis_dikshant_102303201-0.1.1-py3-none-any.whl.
File metadata
- Download URL: topsis_dikshant_102303201-0.1.1-py3-none-any.whl
- Upload date:
- Size: 3.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0a968611ce78ef6bea56c9fd899a90b911c00ac0df9776dd93513f51c8cc75aa
|
|
| MD5 |
cdced0bfc486f4dc4bb7fa595c21c2e3
|
|
| BLAKE2b-256 |
03c3e418dc9b5f342f8e308acf77b428fc98466888a9aa986078ec69bc15074f
|