TOPSIS-JASHANDEEP-102218023

Name	TOPSIS-JASHANDEEP-102218023 JSON
Version	1.1.2 JSON
	download
home_page	https://github.com/JASHANDEEPSINGH2608/TOPSIS-ML-project
Summary	This Python package implements the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) for multi-criteria decision-making.
upload_time	2024-08-11 17:27:52
maintainer	None
docs_url	None
author	Jashandeep Singh
requires_python	None
license	MIT
keywords
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # 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:

```sh
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.

```sh
topsis  "sample.csv" "1,1,1,1" "+,-,+,+" "result.csv"
```


            

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