Perform TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) analysis on a dataset.
Project description
Topsis-Garima-102203385
It performs TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) analysis on a given dataset.
Installation
pip install Topsis-Garima-102203385
How to use it?
Open the terminal and type the following command:
topsis <input_file> <weights> <impacts> <output_file>
<input_file>: Path to the input CSV file. : Comma-separated weights for each criterion (e.g., 1,2,3). : Comma-separated impacts for each criterion (e.g., +,+,-). <output_file>: Path to save the result CSV file.
Example:
topsis data.csv "1,2,3" "+,+,-" result.csv
Input File Format: The input file must have at least three columns:
- The first column contains object names.
- The remaining columns contain numeric criteria values.
Example input file (data.csv):
| Object | Criteria1 | Criteria2 | Criteria3 |
|---|---|---|---|
| A | 250 | 16 | 12 |
| B | 200 | 20 | 15 |
| C | 300 | 14 | 18 |
Output File: The output file will include:
- Topsis Score: Calculated for each object.
- Rank: Objects ranked based on their Topsis scores.
Example output (result.csv):
| Object | Criteria1 | Criteria2 | Criteria3 | Topsis_Score | Rank |
|---|---|---|---|---|---|
| A | 250 | 16 | 12 | 0.78 | 1 |
| B | 200 | 20 | 15 | 0.52 | 3 |
| C | 300 | 14 | 18 | 0.68 | 2 |
License
© 2025 Garima Ahuja This repository is licensed under the MIT license. See LICENSE for details.
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_garima_102203385-1.0.0.tar.gz.
File metadata
- Download URL: topsis_garima_102203385-1.0.0.tar.gz
- Upload date:
- Size: 4.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.0.1 CPython/3.11.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
cf8a03f61456384ad81d0b5799dda9f6a8709fec40b4d787ba3a1e479c760a9e
|
|
| MD5 |
453ba037d2e3d8268add0d6fb69fda09
|
|
| BLAKE2b-256 |
1921b57fe0dd2a1e6382b2cd6aabb74aa1c49c4bb76d1be95ad0484f3305c40f
|
File details
Details for the file Topsis_Garima_102203385-1.0.0-py3-none-any.whl.
File metadata
- Download URL: Topsis_Garima_102203385-1.0.0-py3-none-any.whl
- Upload date:
- Size: 4.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.0.1 CPython/3.11.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
9b2210c6d3f104846be301a9378272b2c27c111660cc46989e3a8af3b15bb974
|
|
| MD5 |
cc1e366cd7a89a4869b67c8364a2408d
|
|
| BLAKE2b-256 |
caf7667efdeebae0f013df4eae24f2a6d928d7f85da8b9b889b1c00c82dbc11b
|