This package implements the TOPSIS method for multi-criteria decision making using a command-line interface. It allows users to rank alternatives from a CSV file by specifying custom weights and impacts. The package includes input validation and generates a ranked output file efficiently. It is designed for academic and practical decision-analysis use.
Project description
TOPSIS – Multi-Criteria Decision Making Tool
This Python package implements the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method.
It is developed to rank alternatives based on multiple criteria and is useful in decision-making problems such as product selection, college ranking, supplier evaluation, and more.
👩💻 Author
This package has been created and developed by Purnika Malhotra as part of an academic assignment.
📌 Features
- Command-line based TOPSIS implementation
- Accepts CSV input file
- Supports user-defined weights and impacts
- Generates ranked output CSV file
- Proper input validation and error handling
📦 Installation
Install the package using pip:
pip install Topsis-Purnika-102303412
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_purnika_102303412-1.0.1.tar.gz.
File metadata
- Download URL: topsis_purnika_102303412-1.0.1.tar.gz
- Upload date:
- Size: 3.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
07ac43b4980c9e1c98123ce50da7df429ea63b3c9875775f46a6a22f5bf4ccb5
|
|
| MD5 |
12ba359f871c6b3ebfa849b396b7226d
|
|
| BLAKE2b-256 |
16aa5aa986069db53c34e5204bd72697d597322912844ba985750325f5647f60
|
File details
Details for the file topsis_purnika_102303412-1.0.1-py3-none-any.whl.
File metadata
- Download URL: topsis_purnika_102303412-1.0.1-py3-none-any.whl
- Upload date:
- Size: 3.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c98f5e1c1c92dcd8d826802b9578f2b4bbcd45998562535d1b8dfc80cc57e579
|
|
| MD5 |
eb446b8c1e6fe396ed022b0d64d1be9b
|
|
| BLAKE2b-256 |
4700432a196c61ae9df604e095b23445256b039b8bf11796bd01af82664178bb
|